Automatic liver vessel segmentation using 3D region growing and hybrid active contour model
Sign Up to like & getrecommendations! Published in 2018 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2018.04.014
Abstract: This paper proposes a new automatic method for liver vessel segmentation by exploiting intensity and shape constraints of 3D vessels. The core of the proposed method is to apply two different strategies: 3D region growing… read more here.
Keywords: segmentation; region growing; liver vessel; vessel segmentation ... See more keywords
Laplacian salience-gated feature pyramid network for accurate liver vessel segmentation.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3273528
Abstract: Liver vessels generated from computed tomography are usually pretty small, which poses major challenges for satisfactory vessel segmentation, including 1) the scarcity of high-quality and large-volume vessel masks, 2) the difficulty in capturing vessel-specific features,… read more here.
Keywords: vessel; liver vessel; laplacian salience; vessel segmentation ... See more keywords
Segmentation of Liver Anatomy by Combining 3D U-Net Approaches
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11114895
Abstract: Accurate liver vessel segmentation is of crucial importance for the clinical diagnosis and treatment of many hepatic diseases. Recent state-of-the-art methods for liver vessel reconstruction mostly utilize deep learning methods, namely, the U-Net model and… read more here.
Keywords: anatomy; liver vessel; segmentation liver; vessel segmentation ... See more keywords