Deep Learning Identifies HAT1 as a Morphological Regulator in Esophageal Squamous Carcinoma Cells through Controlling Cell Senescence

Deep Learning Identifies HAT1 as a Morphological Regulator in Esophageal Squamous Carcinoma Cells through Controlling Cell Senescence

Histopathology is a critical approach for diagnostic tasks and precision treatment. However, histopathological deep learning tools for auto‐identification remain poorly developed. Meanwhile, the interpretation of the computer vision attention into a cellular process is less efficient in a systematic...

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Bibliographic Details
Main Authors: Yuefeng Wu, Bin Jiang, Qi Wang, Yuning Liu, Chuanqiang Wu, Ming Wu, Hai Song
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:Advanced Intelligent Systems
Subjects:
aging
deep learning
esophageal cancer
histone acetyltransferase 1
histopathology
Online Access:https://doi.org/10.1002/aisy.202200352

Internet

https://doi.org/10.1002/aisy.202200352

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