AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer-Reference-Cited by-同舟云学术

AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer

Published:2024-01 Issue: Volume:243 Page:107857
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Lv Tianxu,Hong Xiaoyan^ORCID,Liu Yuan,Miao Kai,Sun Heng,Li Lihua,Deng Chuxia,Jiang Chunjuan,Pan Xiang^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference64 articles.

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4. Radiogenomic signatures reveal multiscale intratumour heterogeneity associated with biological functions and survival in breast cancer;Fan;Nat. Commun.,2020

5. Tumorigenesis: it takes a village;Tabassum;Nat. Rev. Cancer,2015

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