Prof. Mitsutaka Nemoto Profile

Prof. Mitsutaka Nemoto

at Kindai Univ

SPIE Involvement:

Author

Publications (8)

Proceedings Article | 2 April 2024 Poster + Paper

Unsupervised lung lesion detection on FDG-PET/CT images by deep image transformation-based 2.5-dimensional local anomaly detection

A. Segawa, M. Nemoto, H. Kaida, Y. Kimura, T. Nagaoka, M. Katsuhiro, Y. Takahiro, H. Kohei, T. Tatsuya, K. Kazuhiro, I. Kazunari

Proceedings Volume 12931, 1293119 (2024) https://doi.org/10.1117/12.3006643

KEYWORDS: Lung, Image processing, Computed tomography, Image analysis, Cancer detection

Read Abstract +

Proceedings Article | 13 July 2022 Paper

Robustness of a U-net model for different image processing types in segmentation of the mammary gland region

Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Hiroto Kimura, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Seiun Nin, Kazunari Ishii, Yongbum Lee

Proceedings Volume 12286, 122860T (2022) https://doi.org/10.1117/12.2624139

KEYWORDS: Image segmentation, Mammary gland, Breast, Image processing, Mammography, Image compression, Tissues, Systems modeling, Spatial resolution, Signal attenuation

Read Abstract +

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography

Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Yoshiaki Ozaki, Seiun Nin, Kazunari Ishii, Yongbum Lee

Proceedings Volume 11597, 115972V (2021) https://doi.org/10.1117/12.2581424

KEYWORDS: Image segmentation, Mammary gland, Mammography, Breast, Breast cancer

Read Abstract +

Proceedings Article | 27 March 2019 Paper

Pilot study to generate image features by deep autoencoder for computer-aided detection systems

Mitsutaka Nemoto, Kazuyuki Ushifusa, Atsuko Tanaka, Takahiro Yamada, Yuichi Kimura, Naoto Hayashi

Proceedings Volume 11050, 110501J (2019) https://doi.org/10.1117/12.2521289

KEYWORDS: Computer aided diagnosis and therapy, Feature extraction, Computer-aided diagnosis, Computing systems, Chest, Calcium, Diagnostics, Algorithm development, 3D image processing, Lung

Read Abstract +

Proceedings Article | 3 March 2017 Presentation + Paper

Lung lesion detection in FDG-PET/CT with Gaussian process regression

Ryosuke Kamesawa, Issei Sato, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Masashi Sugiyama

Proceedings Volume 10134, 101340C (2017) https://doi.org/10.1117/12.2255588

KEYWORDS: Data centers, Lung, Computer aided diagnosis and therapy, Computer aided design, Probability theory, Feature extraction, Machine learning, Computed tomography, Radiology, Solid modeling, Glucose, Tumors

Read Abstract +

Proceedings Article | 24 March 2016 Paper

A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA

Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Kuni Ohtomo

Proceedings Volume 9785, 97852S (2016) https://doi.org/10.1117/12.2216832

KEYWORDS: Feature extraction, Denoising, Cerebral aneurysms, Computer aided diagnosis and therapy, Magnetism, Angiography, Magnetic sensors, Neural networks, Machine learning, Software development, Radiology

Read Abstract +

Proceedings Article | 13 March 2013 Paper

Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model

Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo

Proceedings Volume 8669, 866917 (2013) https://doi.org/10.1117/12.2007134

KEYWORDS: Computed tomography, Medical imaging, Error analysis, Statistical analysis, Image segmentation, Image processing, Radiology, Image analysis, Pattern recognition, Feature extraction

Read Abstract +

Proceedings Article | 15 March 2011 Paper

A unified framework for concurrent detection of anatomical landmarks for medical image understanding

Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo

Proceedings Volume 7962, 79623E (2011) https://doi.org/10.1117/12.878327

KEYWORDS: Medical imaging, Principal component analysis, Sensors, Range imaging, Computed tomography, Tissues, Statistical analysis, 3D image processing, Lung, Image processing

Read Abstract +

Showing 5 of 8 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years