A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering

A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering

An important part of diagnostics is to gain insight into properties that characterize a disease. Machine learning has been used for this purpose, for instance, to identify biomarkers in genomics. However, when patient data are presented as images, identifying properties that characterize a disease b...

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Bibliographic Details
Main Authors: Håvard Horgen Thunold, Michael A. Riegler, Anis Yazidi, Hugo L. Hammer
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Diagnostics
Subjects:
clustering
deep learning
explainable artificial intelligence
image classification
knowledge discovery
Online Access:https://www.mdpi.com/2075-4418/13/22/3413

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https://www.mdpi.com/2075-4418/13/22/3413

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