CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12260 > Article
Open Access Paper
24 May 2022 Automatic detection and evaluation of nail psoriasis based on deep learning: a preliminary application and exploration
Bin Ji, Yiyi Wang, Dongqi Zuo
Author Affiliations +
Proceedings Volume 12260, International Conference on Computer Application and Information Security (ICCAIS 2021); 1226017 (2022) https://doi.org/10.1117/12.2637629
Event: International Conference on Computer Application and Information Security (ICCAIS 2021), 2021, Wuhan, China
Abstract
Psoriasis is a chronic disease, which has affected over 125 million patients around the world. While the nail psoriasis is more common in psoriasis, it is time-consuming and subjective accurately assess the severity of psoriasis. With the development of deep learning and machine learning, more and more automated methods are proposed for the assessment of lesional psoriasis. However, there are few automated methods for accessing nail psoriasis. This paper proposes an automatic evaluation system for nail psoriasis based on deep learning. The system consists of a cascaded neural network, including nail detection model, nail lesion detection model and quadrant classification model, and combined with the scoring algorithm to obtain the nail psoriasis severity index (NAPSI) automatically. On the dataset we built, the mAP of the nail detection model is 0.909, and the accuracy of the quadrant classification model is 0.765. Through the detection of nail lesions with two models, it can be concluded that the mAP of the best model is 0.24. The models and algorithm have been applied and verified in the application of intelligent assessment.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Bin Ji, Yiyi Wang, and Dongqi Zuo "Automatic detection and evaluation of nail psoriasis based on deep learning: a preliminary application and exploration", Proc. SPIE 12260, International Conference on Computer Application and Information Security (ICCAIS 2021), 1226017 (24 May 2022); https://doi.org/10.1117/12.2637629
PROCEEDINGS
 7 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data modeling
Detection and tracking algorithms
Neural networks
Image segmentation
Intelligence systems
Machine learning
Evolutionary algorithms
RELATED CONTENT
A bird species detection method based on YOLO-v5
Proceedings of SPIE (October 15 2021)
Adversarial example generation using object detection
Proceedings of SPIE (October 19 2022)
Oil spill detection in SAR images based on improved mask...
Proceedings of SPIE (November 15 2023)
Research on segmentation of key parts for train safety based...
Proceedings of SPIE (December 20 2019)
A vision on hybrid AI for military applications
Proceedings of SPIE (October 23 2019)
Trajectory recognition using state transition learning
Proceedings of SPIE (May 28 2003)
Research of object detection method based on DCGAN data set...
Proceedings of SPIE (November 24 2021)
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top