FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers-Reference-Cited by-同舟云学术

FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers

Published:2023-09 Issue:9 Volume:42 Page:2552-2565
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Shao Wei¹^ORCID,Liu Jianxin²,Zuo Yingli²,Qi Shile²^ORCID,Hong Honghai³,Sheng Jianpeng⁴,Zhu Qi²^ORCID,Zhang Daoqiang²^ORCID

Affiliation:

1. College of Computer Science and Technology and the Shenzhen Research Institute, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. Department of Clinical Laboratory, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

4. The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

National Key Research and Development Program of China

Key Research and Development Plan of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10236920/10081481.pdf?arnumber=10081481

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4. Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer

5. Convergence rate analysis of proximal gradient methods with applications to composite minimization problems

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