CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification-Reference-Cited by-同舟云学术

CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification

Published:2023-11 Issue:11 Volume:42 Page:3179-3193
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Wang Hongxiao¹^ORCID,Huang Gang¹,Zhao Zhuo¹,Cheng Liang²,Juncker-Jensen Anna³^ORCID,Nagy Máté Levente³^ORCID,Lu Xin⁴,Zhang Xiangliang¹^ORCID,Chen Danny Z.¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA

2. Department of Pathology and Laboratory Medicine, The Warren Alpert Medical School, Lifespan Academic Medical Center, Legorreta Cancer Center, Brown University, Providence, RI, USA

3. NeoGenomics Laboratories, Aliso Viejo, CA, USA

4. Department of Biological Sciences, Boler-Parseghian Center for Rare and Neglected Diseases, Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN, USA

Funder

NSF

National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

https://ieeexplore.ieee.org/ielam/42/10299534/10053994-aam.pdf

Reference79 articles.

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2. Representation learning on graphs with jumping knowledge networks;xu;Proc Int Conf Mach Learn,2018