Towards interactive AI-authoring with prototypical few-shot classifiers in histopathology

Towards interactive AI-authoring with prototypical few-shot classifiers in histopathology

A vast multitude of tasks in histopathology could potentially benefit from the support of artificial intelligence (AI). Many examples have been shown in the literature and first commercial products with FDA or CE-IVDR clearance are available. However, two key challenges remain: (1) a scarcity of tho...

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Bibliographic Details
Main Authors: Petr Kuritcyn, Rosalie Kletzander, Sophia Eisenberg, Thomas Wittenberg, Volker Bruns, Katja Evert, Felix Keil, Paul K. Ziegler, Katrin Bankov, Peter Wild, Markus Eckstein, Arndt Hartmann, Carol I. Geppert, Michaela Benz
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Pathology Informatics
Subjects:
Digital pathology
Few-shot learning
Prototypical networks
Data augmentation
Tissue classification
Colon adenocarcinoma
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353924000270
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