Dr. Fei Shi Profile

Dr. Fei Shi

at Soochow Univ

SPIE Involvement:

Author

Publications (40)

Proceedings Article | 7 April 2023 Poster + Paper

Category feature reconstruction for pathological image segmentation

Zhibang Zhou, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen

Proceedings Volume 12471, 124711X (2023) https://doi.org/10.1117/12.2651394

KEYWORDS: Image segmentation, Convolution, Semantics, Tumors, Pathology, Feature extraction, Education and training, Blood vessels

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Proceedings Article | 7 April 2023 Poster + Paper

Enhanced pooling-convolution for pathological image multi-class segmentation

Hao Wu, Xinjian Chen, Weifang Zhu, Fei Shi, Dehui Xiang

Proceedings Volume 12471, 124711W (2023) https://doi.org/10.1117/12.2651219

KEYWORDS: Image segmentation, Medical imaging, Image processing, Deep learning, Convolutional neural networks

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Proceedings Article | 3 April 2023 Poster + Paper

Segmentation of common lesions in age-related macular degeneration based on boundary attention mechanism

Chengjian Hong, Yuanyuan Peng, Weifang Zhu, Dehui Xiang, Fei Shi, Baoqing Nie, Xinjian Chen

Proceedings Volume 12464, 124643U (2023) https://doi.org/10.1117/12.2653863

KEYWORDS: Image segmentation, Optical coherence tomography, Network architectures, Medical imaging, Computer vision technology, Retinal diseases, Retina

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Proceedings Article | 3 April 2023 Poster + Paper

IF-Net: information fusion network for meibomian gland area and atrophy area segmentation

Dengfeng Liu, Weifang Zhu, Xinyu Zhuang, Xiaofeng Zhang, Xinjian Chen, Fei Shi, Dehui Xiang

Proceedings Volume 12464, 124643X (2023) https://doi.org/10.1117/12.2654206

KEYWORDS: Information fusion, Image segmentation, Convolution, Infrared radiation, Infrared imaging, Magnesium, Semantics, Feature extraction, Background noise, Image fusion

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Proceedings Article | 3 April 2023 Poster + Paper

Pancreatic CT image segmentation based on transfer learning

Xiaoyi Zhu, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen

Proceedings Volume 12464, 124643N (2023) https://doi.org/10.1117/12.2651437

KEYWORDS: Image segmentation, Education and training, Pancreas, Feature fusion, Computed tomography, Pancreatic cancer, Image processing, Diseases and disorders

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Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most common types of pancreatic cancer and one of the malignant cancers, with an overall five-year survival rate of 5%. CT is the most important imaging examination method for pancreatic diseases with high resolutions. Due to the subtle texture changes of PDAC, single-phase pancreatic imaging is not sufficient to assist doctors in diagnosis. Therefore, dual- phase pancreatPancreatic Ductal Adenocarcinoma (PDAC) is one of the most common types of pancreatic cancer and one of the malignant cancers, with an overall five-year survival rate of 5%. CT is the most important imaging examination method for pancreatic diseases with high resolutions. Due to the subtle texture changes of PDAC, single-phase pancreatic imaging is not sufficient to assist doctors in diagnosis. Therefore, dual- phase pancreatic imaging is recommended for better diagnosis of pancreatic disease. However, since manual labeling requires a lot of time and efforts for experienced physicians, and dual-phase images are often not aligned and largely different in texture, it is difficult to combine cross-phase images. Therefore, in this study, we aim to enhance PDAC automatic segmentation by integrating multi-phase images (i.e. arterial and venous phase) through transfer learning. Therefore, we first transform the image in source domain into the image in target domain through CycleGAN. Secondly, we propose an uncertainty loss to auxiliary training of pseudo target domain images by using pseudo images of different qualities generated during CycleGAN training. Finally, a feature fusion block is designed to compensate for the loss of details caused by downsampling. Experimental results show that the proposed method can obtain more accurate segmentation results than the existing methods.c imaging is recommended for better diagnosis of pancreatic disease. However, since manual labeling requires a lot of time and efforts for experienced physicians, and dual-phase images are often not aligned and largely different in texture, it is difficult to combine cross-phase images. Therefore, in this study, we aim to enhance PDAC automatic segmentation by integrating multi-phase images (i.e. arterial and venous phase) through transfer learning.

Proceedings Article | 3 April 2023 Poster + Paper

Multi-modality network based on CGAN and attention mechanism for glaucoma grading

Ling Liu, Yuanyuan Peng, Dehui Xiang, Fei Shi, Xinjian Chen

Proceedings Volume 12464, 124643L (2023) https://doi.org/10.1117/12.2654113

KEYWORDS: Glaucoma, Optical coherence tomography, Education and training, Network architectures, Data modeling, Image classification, Visualization, Photography, Feature extraction

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Proceedings Article | 3 April 2023 Poster + Paper

A two-stage unsupervised domain adaptation method for OCT image segmentation

Shengyong Diao, Xinjian Chen, Dehui Xiang, Weifang Zhu, Yin Fan, Fei Shi

Proceedings Volume 12464, 124643M (2023) https://doi.org/10.1117/12.2651430

KEYWORDS: Image segmentation, Optical coherence tomography, Semantics, Scanners, Medical imaging, Fourier transforms, Adversarial training

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Proceedings Article | 3 April 2023 Poster + Paper

Meta-learning-based retinal pathology classification from optical coherence tomography images

Ziting Yin, Xinjian Chen, Weifang Zhu, Dehui Xiang, Qing Peng, Fei Shi

Proceedings Volume 12464, 124643R (2023) https://doi.org/10.1117/12.2653478

KEYWORDS: Deep learning, Optical coherence tomography, Machine learning, Pathology, Image classification, Data modeling, Batch normalization, Retinal diseases, Mathematical optimization

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Joint optic disc and cup segmentation based on multi-module U-shaped network

Qianlong Zhu, Gaohui Luo, Xinjian Chen, Fei Shi, Lingjiao Pan, Weifang Zhu

Proceedings Volume 11596, 115961W (2021) https://doi.org/10.1117/12.2580204

KEYWORDS: Image segmentation, Convolution, Computer programming, Network architectures, Multiplexing

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Segmentation of retinal detachment and retinoschisis in OCT images based on improved U-shaped network with cross-fusion global feature module

Changqing Yang, Xinjian Chen, Jinzhu Su, Weifang Zhu, Qiuying Chen, Jiayi Yu, Ying Fan, Fei Shi

Proceedings Volume 11596, 1159621 (2021) https://doi.org/10.1117/12.2580665

KEYWORDS: Image segmentation, Optical coherence tomography, Feature extraction, Convolutional neural networks, Computer programming

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

A generative adversarial framework for capillary non-perfusion regions segmentation in fundus fluorescein angiograms

Mulin Cai, Dehui Xiang, Shengxue Pan, Fei Shi, Weifang Zhu, Xinjian Chen, Bei Tian

Proceedings Volume 11596, 115962D (2021) https://doi.org/10.1117/12.2581045

KEYWORDS: Image segmentation, Capillaries, Angiography, Gallium nitride, Vascular diseases, Retina, Computer programming, Blood

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Context attention-and-fusion network for multiclass retinal fluid segmentation in OCT images

Yanqing Ye, Xinjian Chen, Fei Shi, Dehui Xiang, Lingjiao Pan, Weifang Zhu

Proceedings Volume 11596, 1159622 (2021) https://doi.org/10.1117/12.2580527

KEYWORDS: Image segmentation, Optical coherence tomography, Computer programming, Retina, Fluid dynamics

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

SGCNet: a scale-aware and global context network for linear lesion segmentation in MCSL fundus images of high myopia

Gaohui Luo, Qianlong Zhu, Xinjian Chen, Fei Shi, Ying Fan, Jiamin Xie, Qiuying Chen, Lingjiao Pan, Weifang Zhu

Proceedings Volume 11596, 115963B (2021) https://doi.org/10.1117/12.2579889

KEYWORDS: Image segmentation, Image fusion, Laser vision correction, Feature extraction, Eye

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Proceedings Article | 10 March 2020 Paper

Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT images

Ivica Kopriva, Fei Shi, Marija Štanfel, Xinjian Chen

Proceedings Volume 11313, 113132H (2020) https://doi.org/10.1117/12.2538466

KEYWORDS: Optical coherence tomography, Speckle, Signal to noise ratio, Digital filtering, 3D image processing, Image quality, Image enhancement, 3D image enhancement, Tissues, Image filtering

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Proceedings Article | 10 March 2020 Presentation + Paper

Fully convolutional network with sparse feature-maps composition for automatic lung tumor segmentation from PET images

Haihong Tian, Dehui Xiang, Weifang Zhu, Fei Shi, Xinjian Chen

Proceedings Volume 11313, 113131O (2020) https://doi.org/10.1117/12.2548670

KEYWORDS: Image segmentation, Tumors, Lung, Positron emission tomography, Compressed sensing, Principal component analysis, Feature extraction, Medical imaging, Image processing, Machine vision

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Proceedings Article | 10 March 2020 Paper

Attention multi-scale network for pigment epithelial detachment segmentation in OCT images

Dengsen Bao, Xuena Cheng, Weifang Zhu, Fei Shi, Xinjian Chen

Proceedings Volume 11313, 1131335 (2020) https://doi.org/10.1117/12.2548959

KEYWORDS: Image segmentation, Optical coherence tomography, Convolution, Biomedical optics, Data modeling, Surgery, Convolutional neural networks, Medical imaging, Eye, Binary data

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Proceedings Article | 10 March 2020 Paper

Automatic lung segmentation in low-dose CT image with contrastive attention module

Changxing Yang, Haihong Tian, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen

Proceedings Volume 11313, 1131333 (2020) https://doi.org/10.1117/12.2548806

KEYWORDS: Image segmentation, Lung, Computed tomography, Feature extraction, Tumors, Network architectures, 3D image processing, Electronic filtering, Sun, Computer programming

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Proceedings Article | 10 March 2020 Paper

Segmentation of choroid neovascularization in OCT images based on convolutional neural network with differential amplification blocks

Jinzhu Su, Xinjian Chen, Yuhui Ma, Weifang Zhu, Fei Shi

Proceedings Volume 11313, 1131320 (2020) https://doi.org/10.1117/12.2548273

KEYWORDS: Image segmentation, Optical coherence tomography, Convolutional neural networks, Convolution, 3D modeling, Computer programming, Amplifiers, Medical imaging, Image processing, Angiography

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Proceedings Article | 10 March 2020 Paper

An improved U-Net for nerve fibre segmentation in confocal corneal microscopy images

Xinxin Zhou, Xinjian Chen, Shuanglang Feng, Fei Shi

Proceedings Volume 11313, 113131Z (2020) https://doi.org/10.1117/12.2548257

KEYWORDS: Image segmentation, Nerve, Confocal microscopy, Microscopy, Medical imaging, Convolution, Structured optical fibers, Ophthalmology, Network architectures, Visualization

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Proceedings Article | 10 March 2020 Paper

Group-wise attention fusion network for choroid segmentation in OCT images

Xuena Cheng, Xinjian Chen, Shuanglang Feng, Weifang Zhu, Dehui Xiang, Qiuying Chen, Xun Xu, Ying Fan, Fei Shi

Proceedings Volume 11313, 1131332 (2020) https://doi.org/10.1117/12.2548277

KEYWORDS: Optical coherence tomography, Image segmentation, Global system for mobile communications, Retina, Eye, Image fusion, Visualization, Convolution, Ophthalmology, Network architectures

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Proceedings Article | 30 July 2019 Paper

VinceptionC3D: a 3D convolutional neural network for retinal OCT image classification

Shuanglang Feng, Weifang Zhu, Heming Zhao, Fei Shi, Dehui Xiang, Xinjian Chen

Proceedings Volume 10949, 1094920 (2019) https://doi.org/10.1117/12.2509312

KEYWORDS: Optical coherence tomography, 3D image processing, Image classification, 3D modeling, Image segmentation, 3D acquisition, Data modeling, Convolution, Video, Performance modeling

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Proceedings Article | 15 March 2019 Paper

Choroid segmentation in OCT images based on improved U-net

Xuena Cheng, Xinjian Chen, Yuhui Ma, Weifang Zhu, Ying Fan, Fei Shi

Proceedings Volume 10949, 1094921 (2019) https://doi.org/10.1117/12.2509407

KEYWORDS: Image segmentation, Optical coherence tomography, Retina, Convolution, Eye, Feature extraction, Coherence imaging, Fluctuations and noise, Interfaces, Computer programming

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Proceedings Article | 15 March 2019 Paper

Generation of retinal OCT images with diseases based on cGAN

Xuewei Zha, Fei Shi, Yuhui Ma, Weifang Zhu, Xinjian Chen

Proceedings Volume 10949, 1094924 (2019) https://doi.org/10.1117/12.2510967

KEYWORDS: Image classification, Optical coherence tomography, Medical imaging, Retina, Data modeling, Image processing, Visualization, Image resolution

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Proceedings Article | 15 March 2019 Paper

Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image

Geng Chen, Dehui Xiang, Haihong Tian, Bin Zhang, Weifang Zhu, Fei Shi, Xinjian Chen

Proceedings Volume 10949, 1094926 (2019) https://doi.org/10.1117/12.2511215

KEYWORDS: Lung, Image segmentation, Computed tomography, 3D modeling, Associative arrays, 3D image processing, Tumors, Medical imaging, Principal component analysis, Statistical modeling

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Proceedings Article | 12 March 2018 Paper

Detection and registration of vessels for longitudinal 3D retinal OCT images using SURF

Lingjiao Pan, Fei Shi, Weifang Zhu, Baoqing Nie, Liling Guan, Xinjian Chen

Proceedings Volume 10578, 105782P (2018) https://doi.org/10.1117/12.2292970

KEYWORDS: Optical coherence tomography, Image registration, Blood vessels, 3D image processing, Eye, Speckle, Feature extraction

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Proceedings Article | 6 March 2018 Paper

OIPAV: an integrated software system for ophthalmic image processing, analysis and visualization

Lichun Zhang, Dehui Xiang, Chao Jin, Fei Shi, Kai Yu, Xinjian Chen

Proceedings Volume 10579, 105791L (2018) https://doi.org/10.1117/12.2292009

KEYWORDS: Image processing, Visualization, Image segmentation, Visual analytics, 3D image processing, Image analysis, Optical coherence tomography, Image visualization, Image fusion, Medical imaging

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Proceedings Article | 2 March 2018 Paper

Automatic localization and segmentation of optical disk based on faster R-CNN and level set in fundus image

Defeng Zhang, Weifang Zhu, Heming Zhao, Fei Shi, Xinjian Chen

Proceedings Volume 10574, 105741U (2018) https://doi.org/10.1117/12.2292950

KEYWORDS: Image segmentation, Blood vessels, Image processing algorithms and systems, Optical discs, Databases, Image quality, Image processing, Image enhancement, Digital filtering, Nonlinear filtering

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SPIE Journal Paper | 21 July 2017 Open Access

Automated framework for intraretinal cystoid macular edema segmentation in three-dimensional optical coherence tomography images with macular hole

Weifang Zhu, Li Zhang, Fei Shi, Dehui Xiang, Lirong Wang, Jingyun Guo, Xiaoling Yang, Haoyu Chen, Xinjian Chen

JBO, Vol. 22, Issue 07, 076014, (July 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.7.076014

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Proceedings Article | 13 March 2017 Presentation + Paper

Automated boundary segmentation and wound analysis for longitudinal corneal OCT images

Fei Wang, Fei Shi, Weifang Zhu, Lingjiao Pan, Haoyu Chen, Haifan Huang, Kangkeng Zheng, Xinjian Chen

Proceedings Volume 10137, 1013708 (2017) https://doi.org/10.1117/12.2254394

KEYWORDS: Cornea, Data analysis, Image classification, Optical coherence tomography, Image segmentation, Image processing, Binary data, Image processing algorithms and systems, Inspection, Sensors, Edge detection, Wound healing

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Proceedings Article | 24 February 2017 Presentation + Paper

Nonrigid registration of 3D longitudinal optical coherence tomography volumes with choroidal neovascularization

Qiangding Wei, Fei Shi, Weifang Zhu, Dehui Xiang, Haoyu Chen, Xinjian Chen

Proceedings Volume 10133, 101330X (2017) https://doi.org/10.1117/12.2253999

KEYWORDS: Optical coherence tomography, Image registration, 3D scanning, Image enhancement, 3D image processing, Image filtering, Image segmentation, Image processing, Retina, 3D acquisition, Eye

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Proceedings Article | 24 February 2017 Paper

Graph search: active appearance model based automated segmentation of retinal layers for optic nerve head centered OCT images

Enting Gao, Fei Shi, Weifang Zhu, Chao Jin, Min Sun, Haoyu Chen, Xinjian Chen

Proceedings Volume 10133, 101331Q (2017) https://doi.org/10.1117/12.2250168

KEYWORDS: Image segmentation, 3D modeling, Optical coherence tomography, 3D image processing, Image filtering, Integrated modeling, Medical imaging, Statistical analysis, Eye, Active optics

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SPIE Journal Paper | 22 December 2016 Open Access

Automated choroid segmentation in three-dimensional 1-μm wide-view OCT images with gradient and regional costs

Fei Shi, Bei Tian, Weifang Zhu, Dehui Xiang, Lei Zhou, Haobo Xu, Xinjian Chen

JBO, Vol. 21, Issue 12, 126017, (December 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.12.126017

KEYWORDS: Image segmentation, Optical coherence tomography, 3D image processing, Wavelets, Signal to noise ratio, Image enhancement, Digital filtering, Retina, Speckle, Image filtering

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SPIE Journal Paper | 18 July 2016 Open Access

Enhanced low-rank + sparsity decomposition for speckle reduction in optical coherence tomography

Ivica Kopriva, Fei Shi, Xinjian Chen

JBO, Vol. 21, Issue 07, 076008, (July 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.7.076008

KEYWORDS: Optical coherence tomography, Speckle, Signal to noise ratio, Digital filtering, 3D image processing, Tissues, Image enhancement, Detection and tracking algorithms, Biomedical optics, 3D image enhancement

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Proceedings Article | 29 March 2016 Paper

3D choroid neovascularization growth prediction based on reaction-diffusion model

Shuxia Zhu, Xinjian Chen, Fei Shi, Dehui Xiang, Weifang Zhu, Haoyu Chen

Proceedings Volume 9788, 978807 (2016) https://doi.org/10.1117/12.2216188

KEYWORDS: 3D modeling, Finite element methods, Optical coherence tomography, Tissues, Diffusion, 3D image processing, Model-based design, Image analysis, Image segmentation, Mathematical modeling, Eye, Visual process modeling

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Proceedings Article | 29 March 2016 Paper

Liver recognition based on statistical shape model in CT images

Dehui Xiang, Xueqing Jiang, Fei Shi, Weifang Zhu, Xinjian Chen

Proceedings Volume 9788, 97881O (2016) https://doi.org/10.1117/12.2216071

KEYWORDS: Liver, Computed tomography, 3D modeling, Statistical modeling, 3D image processing, Image segmentation, Principal component analysis, Binary data, Shape analysis, Data modeling

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Proceedings Article | 23 March 2016 Paper

Automatic choroid cells segmentation and counting in fluorescence microscopic image

Jianjun Fei, Weifang Zhu, Fei Shi, Dehui Xiang, Xiao Lin, Lei Yang, Xinjian Chen

Proceedings Volume 9791, 97911B (2016) https://doi.org/10.1117/12.2216172

KEYWORDS: Image segmentation, Luminescence, Image processing algorithms and systems, Polymers, Tissues, Microscopy, Feature extraction

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Proceedings Article | 21 March 2016 Paper

A framework for classification and segmentation of branch retinal artery occlusion in SD-OCT

Jingyun Guo, Fei Shi, Weifang Zhu, Haoyu Chen, Xinjian Chen

Proceedings Volume 9784, 978425 (2016) https://doi.org/10.1117/12.2214852

KEYWORDS: Image segmentation, Arteries, Probability theory, Retina, Quantitative analysis, Ischemia, 3D image processing, Optical coherence tomography, Biological research, Image analysis, Natural surfaces, Visualization, Tissues

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Proceedings Article | 21 March 2016 Paper

Automatic co-segmentation of lung tumor based on random forest in PET-CT images

Xueqing Jiang, Dehui Xiang, Bin Zhang, Weifang Zhu, Fei Shi, Xinjian Chen

Proceedings Volume 9784, 97842W (2016) https://doi.org/10.1117/12.2216361

KEYWORDS: Image segmentation, Positron emission tomography, Tumors, Computed tomography, Lung, 3D image processing, Spine, Feature extraction, Spatial resolution, Lung cancer

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Proceedings Article | 21 March 2016 Paper

A novel 3D graph cut based co-segmentation of lung tumor on PET-CT images with Gaussian mixture models

Kai Yu, Xinjian Chen, Fei Shi, Weifang Zhu, Bin Zhang, Dehui Xiang

Proceedings Volume 9784, 97842V (2016) https://doi.org/10.1117/12.2216229

KEYWORDS: Positron emission tomography, Computed tomography, 3D modeling, Image segmentation, 3D image processing, Lung, Radiotherapy, Spatial resolution, Integrated modeling, Tumors, Expectation maximization algorithms

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Proceedings Article | 20 March 2015 Paper

Automated segmentation of serous pigment epithelium detachment in SD-OCT images

Zhuli Sun, Fei Shi, Dehui Xiang, Haoyu Chen, Xinjian Chen

Proceedings Volume 9413, 94133Q (2015) https://doi.org/10.1117/12.2078095

KEYWORDS: Image segmentation, Mathematical morphology, Image processing, Image processing algorithms and systems, Image analysis, Retina, 3D image processing, Speckle, Diagnostics, Anisotropic diffusion

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Showing 5 of 40 publications

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