Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis

Author:

Lambert Benjamin,Forbes Florence,Doyle Senan,Dehaene Harmonie,Dojat MichelORCID

Funder

ANRT

Publisher

Elsevier BV

Reference299 articles.

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3. Nguyen A, Yosinski J, Clune J. Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2015, p. 427–36.

4. Understanding adversarial attacks on deep learning based medical image analysis systems;Ma;Pattern Recognit,2021

5. Privacy and accountability in black-box medicine;Ford;Mich Telecomm Technol Law Rev,2016

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