[HTML][HTML] Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for cta and mra

K Yang, F Musio, Y Ma, N Juchler, JC Paetzold… - ArXiv, 2023 - ncbi.nlm.nih.gov
Abstract The Circle of Willis (CoW) is an important network of arteries connecting major
circulations of the brain. Its vascular architecture is believed to affect the risk, severity, and …

Skeleton recall loss for connectivity conserving and resource efficient segmentation of thin tubular structures

Y Kirchhoff, MR Rokuss, S Roy, B Kovacs… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurately segmenting thin tubular structures, such as vessels, nerves, roads or concrete
cracks, is a crucial task in computer vision. Standard deep learning-based segmentation …

Centerline Boundary Dice Loss for Vascular Segmentation

P Shi, J Hu, Y Yang, Z Gao, W Liu, T Ma - arXiv preprint arXiv:2407.01517, 2024 - arxiv.org
Vascular segmentation in medical imaging plays a crucial role in analysing morphological
and functional assessments. Traditional methods, like the centerline Dice (clDice) loss …

Differentiable Soft Morphological Filters for Medical Image Segmentation

L Guzzi, MA Zuluaga, F Lareyre, G Di Lorenzo… - MICCAI 2024-Medical …, 2024 - hal.science
Morphological operations such as erosion, dilation, and skeletonization offer valuable tools
for processing and analyzing segmentation masks. Several studies have investigated the …

Segmentation des vaisseaux sanguins par approche variationnelle et apprentissage profond

SC Esteves - 2024 - theses.hal.science
La segmentation des vaisseaux sanguins à partir d'images médicales est une étape cruciale
dans diverses applications cliniques, telles que la planification chirurgicale, le diagnostic …