Multi-Task Learning With Hierarchical Guidance for Locating and Stratifying Submucosal Tumors-Reference-Cited by-同舟云学术

Multi-Task Learning With Hierarchical Guidance for Locating and Stratifying Submucosal Tumors

Author:

Zhang Ruifei¹^ORCID,Zhang Feng²,Qin Si³,Fan Dejun⁴,Fang Chaowei⁵^ORCID,Ma Jie¹,Wan Xiang⁶^ORCID,Li Guanbin¹^ORCID,Lin Xutao⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2. Department of Rheumatology, Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

3. Department of Medical Ultrasonics, Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

4. Department of Gastrointestinal Endoscopy, Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

5. School of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, China

6. Shenzhen Research Institute of Big Data, Shenzhen, China

Funder

Chinese Key-Area Research and Development Program of Guangdong Province

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Shenzhen Science and Technology Program

National Key Clinical Discipline

Guangdong Provincial Key Laboratory of Big Data Computing

Chinese University of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference52 articles.

5. PyTorch: An imperative style, high-performance deep learning library;paszke;Proc Adv Neural Inf Process Syst,0

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