deep-learningmedicalsurvey

A Survey on Deep Learning in Medical Image Analysis

Reviewed on Feb 28, 2017 • https://arxiv.org/pdf/1702.05747.pdf

Reference : G Litjens, T Kooi, B E Bejnordi, A Setio, F Ciompi, M Ghafoorian, Jvan der Laak, B v Ginneken, C I. Sanchez. A Survey on Deep Learning in Medical Image Analysis. Proceedings of MICCAI 2015, p.234-241.

VERY extensive survey of more than 300 deep learning methods applied to medical image analysis. It includes all kinds of neural networks including autoencoders, RBM, DBM, and most importantly CNN, as well as different modalities (MRI. CTscan, echo, etc.) and applications (cardiac, brain, oncology, etc.).