Application of quantitative histomorphometric features in computational pathology

Application of quantitative histomorphometric features in computational pathology

Abstract Computer vision has facilitated the execution of various computer‐aided diagnostic tasks. From a methodological perspective, these tasks are primarily implemented using two dominant strategies: end‐to‐end Deep learning (DL)‐based methods and traditional feature engineering‐based methods. DL...

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Bibliographic Details
Main Authors: Yujie Shi, Bo Hu, Mingyan Xu, Yunhan Yao, Shuaiqiang Gao, Xiang Xia, Xikai Deng, Jianfeng Liu, Jia Gu, Shifu Chen
Format: Article
Language:English
Published: Wiley-VCH 2025-01-01
Series:Interdisciplinary Medicine
Subjects:
deep learning
pathological image
quantitative histomorphometric feature
segmentation
Online Access:https://doi.org/10.1002/INMD.20240037
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https://doi.org/10.1002/INMD.20240037

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