Accurate Prediction of Metachronous Liver Metastasis in Stage I-III Colorectal Cancer Patients Using Deep Learning With Digital Pathological Images

Accurate Prediction of Metachronous Liver Metastasis in Stage I-III Colorectal Cancer Patients Using Deep Learning With Digital Pathological Images

ObjectivesMetachronous liver metastasis (LM) significantly impacts the prognosis of stage I-III colorectal cancer (CRC) patients. An effective biomarker to predict LM after surgery is urgently needed. We aimed to develop deep learning-based models to assist in predicting LM in stage I-III CRC patien...

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Bibliographic Details
Main Authors: Chanchan Xiao, Meihua Zhou, Xihua Yang, Haoyun Wang, Zhen Tang, Zheng Zhou, Zeyu Tian, Qi Liu, Xiaojie Li, Wei Jiang, Jihui Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Oncology
Subjects:
deep learning
colorectal cancer
metachronous liver metastasis
prediction model
nomogram
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.844067/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.844067/full

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