Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI

Segmentation neural networks are widely used in medical imaging to identify anomalies that may impact patient health. Despite their effectiveness, these networks face significant challenges, including the need for extensive annotated patient data, time-consuming manual segmentation processes and res...

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Bibliographic Details

Published in:	Journal of Imaging
Main Authors:	Arturs Nikulins, Edgars Edelmers, Kaspars Sudars, Inese Polaka
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Subjects:	medical imaging classification models image segmentation explainable artificial intelligence neural networks
Online Access:	https://www.mdpi.com/2313-433X/11/2/55