Slideflow: deep learning for digital histopathology with real-time whole-slide visualization

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization

Abstract Deep learning methods have emerged as powerful tools for analyzing histopathological images, but current methods are often specialized for specific domains and software environments, and few open-source options exist for deploying models in an interactive interface. Experimenting with diffe...

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Bibliographic Details
Main Authors: James M. Dolezal, Sara Kochanny, Emma Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Bioinformatics
Subjects:
Digital pathology
Computational pathology
Software toolkit
Whole-slide imaging
Explainable AI
Self-supervised learning
Online Access:https://doi.org/10.1186/s12859-024-05758-x

Internet

https://doi.org/10.1186/s12859-024-05758-x

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