Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis

Computer vision and deep learning have the potential to improve medical artificial intelligence (AI) by assisting in diagnosis, prediction, and prognosis. However, the application of deep learning to medical image analysis is challenging due to limited data availability and imbalanced data. While mo...

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Bibliographic Details
Main Authors: Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
computer-aided diagnosis
COVID-19
feature learning
self-supervised learning
contrastive learning
AUC
Online Access:https://www.mdpi.com/1424-8220/23/19/8122

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https://www.mdpi.com/1424-8220/23/19/8122

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