The current landscape of artificial intelligence in computational histopathology for cancer diagnosis

The current landscape of artificial intelligence in computational histopathology for cancer diagnosis

Abstract Artificial intelligence (AI) marks a frontier in histopathologic analysis shift towards the clinic, becoming a mainstream choice to interpret histological images. Surveying studies assessing AI applications in histopathology from 2013 to 2024, we review key methods (including supervised, un...

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Bibliographic Details
Main Authors: Aaditya Tiwari, Aruni Ghose, Maryam Hasanova, Sara Socorro Faria, Srishti Mohapatra, Sola Adeleke, Stergios Boussios
Format: Article
Language:English
Published: Springer 2025-04-01
Series:Discover Oncology
Subjects:
Artificial Intelligence
Machine Learning
Deep Learning
Cancer
Histopathology
Computational
Online Access:https://doi.org/10.1007/s12672-025-02212-z
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https://doi.org/10.1007/s12672-025-02212-z

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