A Systematic Comparison of Task Adaptation Techniques for Digital Histopathology

A Systematic Comparison of Task Adaptation Techniques for Digital Histopathology

Due to an insufficient amount of image annotation, artificial intelligence in computational histopathology usually relies on fine-tuning pre-trained neural networks. While vanilla fine-tuning has shown to be effective, research on computer vision has recently proposed improved algorithms, promising...

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Bibliographic Details
Main Authors:	Daniel Sauter, Georg Lodde, Felix Nensa, Dirk Schadendorf, Elisabeth Livingstone, Markus Kukuk
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	Bioengineering
Subjects:	transfer learning fine-tuning computer vision CNN whole-slide imaging cancer
Online Access:	https://www.mdpi.com/2306-5354/11/1/19

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