Automatic Segmentation of Prostate MRI Based on 3D Pyramid Pooling Unet.
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DOI: 10.1002/mp.15895
Abstract: PURPOSE Automatic segmentation of prostate magnetic resonance (MR) images is crucial for the diagnosis, evaluation, and prognosis of prostate diseases (including prostate cancer). In recent years, the mainstream segmentation method for the prostate has been… read more here.
Keywords: prostate; segmentation prostate; feature; segmentation ... See more keywords
A hybrid deep learning approach for gland segmentation in prostate histopathological images
Sign Up to like & getrecommendations! Published in 2021 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2021.102076
Abstract: BACKGROUND In digital pathology, the morphology and architecture of prostate glands have been routinely adopted by pathologists to evaluate the presence of cancer tissue. The manual annotations are operator-dependent, error-prone and time-consuming. The automated segmentation… read more here.
Keywords: prostate; segmentation prostate; histopathological images; segmentation ... See more keywords
Automatic zonal segmentation of the prostate from 2D and 3D T2-weighted MRI and evaluation for clinical use
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.9.2.024001
Abstract: Abstract. Purpose: An accurate zonal segmentation of the prostate is required for prostate cancer (PCa) management with MRI. Approach: The aim of this work is to present UFNet, a deep learning-based method for automatic zonal… read more here.
Keywords: prostate weighted; zonal segmentation; prostate; segmentation prostate ... See more keywords