1 code implementation • 5 Feb 2024 • Arash Harirpoush, Amirhossein Rasoulian, Marta Kersten-Oertel, Yiming Xiao
We conduct the first systematic benchmark study for variants of 3D U-shaped models (3DUNet, STUNet, AttentionUNet, SwinUNETR, FocalSegNet, and a novel 3D SwinUnet with four variants) with a focus on CT-based anatomical segmentation for thoracic surgery.
1 code implementation • 6 Aug 2023 • Amirhossein Rasoulian, Arash Harirpoush, Soorena Salari, Yiming Xiao
In the paper, we propose FocalSegNet, a novel 3D focal modulation UNet, to detect an aneurysm and offer an initial, coarse segmentation of it from time-of-flight MRA image patches, which is further refined with a dense conditional random field (CRF) post-processing layer to produce a final segmentation map.