An interpretable machine learning system for colorectal cancer diagnosis from pathology slides

An interpretable machine learning system for colorectal cancer diagnosis from pathology slides

Abstract Considering the profound transformation affecting pathology practice, we aimed to develop a scalable artificial intelligence (AI) system to diagnose colorectal cancer from whole-slide images (WSI). For this, we propose a deep learning (DL) system that learns from weak labels, a sampling str...

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Bibliographic Details
Main Authors: Pedro C. Neto, Diana Montezuma, Sara P. Oliveira, Domingos Oliveira, João Fraga, Ana Monteiro, João Monteiro, Liliana Ribeiro, Sofia Gonçalves, Stefan Reinhard, Inti Zlobec, Isabel M. Pinto, Jaime S. Cardoso
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-024-00539-4

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