Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation

Alex Karargyros, Tanveer F. Syeda-Mahmood. Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation. In Nicholas A. Petrick, Kensaku Mori, editors, Medical Imaging 2018: Computer-Aided Diagnosis, Houston, Texas, USA, 10-15 February 2018. Volume 10575 of SPIE Proceedings, SPIE, 2018. [doi]

Abstract

Abstract is missing.