Spotting L3 slice in CT scans using deep convolutional network and transfer learning

In this article, we present a complete automated system for spotting a particular slice in a complete 3D Computed Tomography exam (CT scan). Our approach does not require any assumptions on which part of the patient's body is covered by the scan. It relies on an original machine learning regression approach. Our models are learned using the transfer learning trick by exploiting deep architectures that have been pre-trained on imageNet database, and therefore it requires very little annotation for its training.

Source: Computers in Biology and Medicine - May 19, 2017 Category: Bioinformatics Authors: Soufiane Belharbi, Cl ément Chatelain, Romain Hérault, Sébastien Adam, Sébastien Thureau, Mathieu Chastan, Romain Modzelewski Source Type: research