Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images

no code implementations • 27 Sep 2019 • Shohei Hayashi, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda

In this paper we propose a novel deep learning-based algorithm for biomedical image segmentation which uses a sequential attention mechanism able to shift the focus of attention across the image in a selective way, allowing subareas which are more difficult to classify to be processed at increased resolution.

Ensemble Learning Image Segmentation +2