A robust interclass and intraclass loss function for deep learning based tongue segmentation

Author:

Cai Yuanzheng1234ORCID,Wang Tao135ORCID,Liu Wei26,Luo Zhiming7

Affiliation:

1. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China

2. The Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions Wuyi University Wuyishan China

3. College of Mathematics and Computer Science Fuzhou University Fuzhou China

4. Istrong Technology Research Institute Istrong Technology Co., Ltd Fuzhou China

5. The Engineering Institute NetDragon Inc. Fuzhou China

6. Virtual Reality and Interactive Techniques Institute East China Jiaotong University Nanchang China

7. Post‐Doctoral Mobile Station of Information and Communication Engineering Xiamen University Xiamen China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Natural Science Foundation of Shanghai

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

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1. Intelligent quality control of traditional chinese medical tongue diagnosis images based on deep learning;Technology and Health Care;2024-05-31

2. Detection and segmentation of tongue maps containing negative samples based on YOLOv7 and TSRNet;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

3. ENHANCING TONGUE REGION SEGMENTATION THROUGH SELF-ATTENTION AND TRANSFORMER BASED;Journal of Mechanics in Medicine and Biology;2024-03

4. Deep Upscale U-Net for automatic tongue segmentation;Medical & Biological Engineering & Computing;2024-02-19

5. RTC_TongueNet: An improved tongue image segmentation model based on DeepLabV3;DIGITAL HEALTH;2024-01

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