Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution-Reference-Cited by-同舟云学术

Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution

Published:2023-09 Issue:9 Volume:42 Page:2678-2689
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Li Zhe¹^ORCID,Jiang Yuming²,Lu Mengkang¹,Li Ruijiang²^ORCID,Xia Yong¹^ORCID

Affiliation:

1. National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China

2. Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Research and Development Program of Shaanxi Province, China

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/ielx7/42/10236920/10086562.pdf?arnumber=10086562

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5. Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

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