Feb 9, 2024 · proposed to use of a 2-step deep-learning approach for automatic CT vertebrae localization and segmentation. The first step used a U-Net to ...
Sep 14, 2022 · The results show that compared with SVM, FCN, R-CNN, U-Net, and Attention U-Net models, the improved model achieved better results in all three ...
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Spine segmentation using articulated shape models. In Medi- cal image ... mentation of lumbar vertebrae using part-based graphs and active appearance ...
Segmentation · 1. Separation of the vertebrae. · 2. Segmentation of the cortical surface. · 3. Separation of the spinal processes from the vertebral body and ...
Apr 2, 2024 · With our proposed differentiable signed distance operator and spectral mesh optimization, the shape of the spine model can be refined via a ...
A statistical multi-vertebrae shape+pose model is developed and proposed and a novel registration-based technique to segment the CT images of spine is ...
The shape model is embedded into the image domain taking in consideration the evolution of a contour represented by a level set function. The evolution of the ...
Nov 12, 2021 · proposed a two-staged approach that, the first stage located the lumbar region using the global context and the second stage, exploited the ...
Jul 31, 2011 · Our application allows the use of two different models, that is, a global one (with several vertebrae) and a local one (with a single vertebra).
Both shape and pose statistics were incorporated in Rasoulian et al. [17] in a multi-vertebrae model for lumbar spine segmentation. Kim and Kim [18] proposed a ...