The insertion of deep learning in medical image analysis had lead to the...
Dermatological diagnosis automation is essential in addressing the high
...
Convolutional neural networks trained on publicly available medical imag...
Supervised learning algorithms trained on medical images will often fail...
In the absence of sufficient data variation (e.g., scanner and protocol
...
For proper generalization performance of convolutional neural networks (...
Segmenting vascular pathologies such as white matter lesions in Brain
ma...