To this end, we propose a novel deep framework to segment male pelvic organs in CT images with incomplete annotation delineated in a very user-friendly manner.
Jan 13, 2020 · We propose a novel deep learning-based segmentation method for male pelvic organs in CT images using incompletely annotated data, which helps ...
Jan 30, 2020 · To this end, we propose a novel deep framework to segment male pelvic organs in CT images with incomplete annotation delineated in a very user- ...
A deep convolutional neural network approach to automatically segment the prostate, bladder, and rectum from pelvic CT is proposed and produces accurate and ...
Accurate segmentation of the prostate and organs at risk (OARs, e.g., bladder and rectum) in male pelvic CT images is a critical step for prostate cancer ...
In this paper, we propose a novel automatic segmentation framework using fully convolutional networks with boundary sensitive representation to address this ...
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6 of 12. CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. 7 of 12. Boundary Coding Representation for Organ Segmentation ...
7 days ago · Wang, S., et al.: Ct male pelvic organ segmentation via hybrid loss network with incomplete annotation. IEEE Trans. Med. Imaging 39(6), 2151 ...
Jun 26, 2023 · S. Wang et al., “CT male pelvic organ segmentation via hybrid loss network with incomplete annotation,” IEEE Trans. Med. Imag., vol. 39, no. 6, ...
Accurate segmentation of CT male pelvic organs via regression-based deformable models and multi-task random forests. Y Gao, Y Shao, J Lian, AZ Wang, RC Chen, D ...