Dealing with Topological Information within a Fully Convolutional Neural Network

Etienne Decencière; Santiago Velasco-Forero; Fu Min; Juanjuan Chen; Hélène Burdin; Gervais Gauthier; Bruno Laÿ; Thomas Bornschloegl; Thérèse Baldeweck

doi:10.1007/978-3-030-01449-0_39

paper

Dealing with Topological Information within a Fully Convolutional Neural Network

arXiv:1906.11600 · doi:10.1007/978-3-030-01449-0_39

Abstract

A fully convolutional neural network has a receptive field of limited size and therefore cannot exploit global information, such as topological information. A solution is proposed in this paper to solve this problem, based on pre-processing with a geodesic operator. It is applied to the segmentation of histological images of pigmented reconstructed epidermis acquired via Whole Slide Imaging.

International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2018)