Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images

Paul Kaftan, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler, Alexander Bigalke

Abstract: Lung fissure segmentation on CT images often relies on 3D convolutional neural networks (CNNs). However, 3D-CNNs are inefficient for detecting thin structures like the fissures, which make up a tiny fraction of the entire image volume. We propose to make lung fissure segmentation more efficient by using geometric deep learning (GDL) on sparse point clouds.

External IDs:dblp:journals/cars/KaftanHHRKB25