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Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network
The cornerstone of stroke care is expedient management that varies depending on the time since stroke onset.
Intelligent image synthesis to attack a segmentation CNN using adversarial learning
Our approach has three key features: 1) The generated adversarial examples exhibit anatomical variations (in form of deformations) as well as appearance perturbations; 2) The adversarial examples attack segmentation models so that the Dice scores decrease by a pre-specified amount; 3) The attack is not required to be specified beforehand.
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
One of the biggest issues facing the use of machine learning in medical imaging is the lack of availability of large, labelled datasets.
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