1 code implementation • 8 Nov 2023 • Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung
Both 3D and purely 2D deep learning-based segmentation methods are deficient in dealing with such volumetric data since the performance of 3D methods suffers when confronting anisotropic data, and 2D methods disregard crucial volumetric information.
1 code implementation • 29 Mar 2022 • Alex Ling Yu Hung, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung
However, state-of-the-art automatic segmentation methods often fail to produce well-contained volumetric segmentation of the prostate zones since certain slices of prostate MRI, such as base and apex slices, are harder to segment than other slices.