Clinical application of machine learning‐based pathomics signature of gastric atrophy

Clinical application of machine learning‐based pathomics signature of gastric atrophy

BackgroundThe diagnosis of gastric atrophy is highly subjective, and we aimed to establish a model of gastric atrophy based on pathological features to improve diagnostic consistency.MethodsWe retrospectively collected the HE-stained pathological slides of gastric biopsies and used CellProfiler soft...

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Bibliographic Details
Main Authors: Yadi Lan, Bing Han, Tianyu Zhai, Qianqian Xu, Zhiwei Li, Mingyue Liu, Yining Xue, Hongwei Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Oncology
Subjects:
pathology
machine learning
gastric
atrophy
cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1289265/full

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https://www.frontiersin.org/articles/10.3389/fonc.2024.1289265/full

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