Image-based profiling and deep learning reveal morphological heterogeneity of colorectal cancer organoids-Reference-Cited by-同舟云学术

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Image-based profiling and deep learning reveal morphological heterogeneity of colorectal cancer organoids

Published:2024-05 Issue: Volume:173 Page:108322
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Huang Kai,Li Mingyue,Li Qiwei,Chen Zaozao,Zhang Ying,Gu Zhongze

Funder

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Reference45 articles.

1. Organ-on-a-chip: a new paradigm for drug development;Ma;Trends Pharmacol. Sci.,2020

2. Organoid models of gastrointestinal cancers in basic and translational research;Lau;Nat. Rev. Gastroenterol. Hepatol.,2020

3. Phenotypic landscape of intestinal organoid regeneration;Lukonin;Nature,2020

4. The drug-induced phenotypic landscape of colorectal cancer organoids;Betge;Nat. Commun.,2022

5. Deep-lumen assay–human lung epithelial spheroid classification from brightfield images using deep learning;Abdul;Lab Chip,2020

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