ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14580
Abstract: PURPOSE The research is to develop a novel CNN-based adversarial deep learning method to improve and expedite the multi-organ semantic segmentation of CT images and to generate accurate contours on pelvic CT images. METHODS Planning… read more here.
Keywords: arpm net; segmentation; pelvic images; method ... See more keywords
The segmentation of bones in pelvic CT images based on extraction of key frames
Sign Up to like & getrecommendations! Published in 2018 at "BMC Medical Imaging"
DOI: 10.1186/s12880-018-0260-x
Abstract: BackgroundBone segmentation is important in computed tomography (CT) imaging of the pelvis, which assists physicians in the early diagnosis of pelvic injury, in planning operations, and in evaluating the effects of surgical treatment. This study… read more here.
Keywords: key frames; pelvic images; segmentation; extraction key ... See more keywords