Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for Survival Prediction-Reference-Cited by-同舟云学术

Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for Survival Prediction

Published:2022 Issue: Volume: Page:1-16
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Di Donglin¹^ORCID,Zou Changqing²^ORCID,Feng Yifan¹^ORCID,Zhou Haiyan³,Ji Rongrong⁴^ORCID,Dai Qionghai¹,Gao Yue¹^ORCID

Affiliation:

1. BNRist, KLISS, School of Software, BLBCI, THUIBCS, Tsinghua University, Beijing, China

2. State Key Lab of CAD&CG, Zhejiang University, Zhejiang Lab, Hangzhou, China

3. Department of Pathology, Xiangya hospital, Central South University, China

4. Media Analytics and Computing Laboratory, Department of Artificial Intelligence, School of Informatics, Xiamen University and Institute of Artificial Intelligence, Xiamen University, Xiamen, China

Funder

National Natural Science Foundation of China

Open Research Projects of Zhejiang Lab

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09903546.pdf?arnumber=9903546

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4. ]Video object segmentation by hypergraph cut

5. Ranking-Based Survival Prediction on Histopathological Whole-Slide Images

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