RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs

RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs

Artificial Intelligence (AI) methods, particularly Deep Neural Networks (DNNs), have shown great promise in a range of medical imaging tasks. However, the susceptibility of DNNs to producing erroneous outputs under the presence of input noise and variations is of great concern and one of the largest...

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Bibliographic Details
Main Authors: Aditi Anand, Sarada Krithivasan, Kaushik Roy
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Radiology
Subjects:
medical imaging
artificial intelligence
artificial neural networks
robustness
radiology
chest radiographs
Online Access:https://www.frontiersin.org/articles/10.3389/fradi.2023.1274273/full

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https://www.frontiersin.org/articles/10.3389/fradi.2023.1274273/full

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