[HTML][HTML] Automatic segmentation of prostate zonal anatomy on MRI: a systematic review of the literature

C Wu, S Montagne, D Hamzaoui, N Ayache… - Insights into …, 2022 - Springer
Objectives Accurate zonal segmentation of prostate boundaries on MRI is a critical
prerequisite for automated prostate cancer detection based on PI-RADS. Many articles have …

National cancer institute imaging data commons: toward transparency, reproducibility, and scalability in imaging artificial intelligence

A Fedorov, WJR Longabaugh, D Pot, DA Clunie… - Radiographics, 2023 - pubs.rsna.org
The remarkable advances of artificial intelligence (AI) technology are revolutionizing
established approaches to the acquisition, interpretation, and analysis of biomedical …

Exploring uncertainty measures in Bayesian deep attentive neural networks for prostate zonal segmentation

Y Liu, G Yang, M Hosseiny, A Azadikhah… - Ieee …, 2020 - ieeexplore.ieee.org
Automatic segmentation of prostatic zones on multi-parametric MRI (mpMRI) can improve
the diagnostic workflow of prostate cancer. We designed a spatial attentive Bayesian deep …

Automatic prostate zonal segmentation using fully convolutional network with feature pyramid attention

Y Liu, G Yang, SA Mirak, M Hosseiny… - IEEE …, 2019 - ieeexplore.ieee.org
Our main objective in the paper is to develop a novel deep learning-based algorithm for
automatic segmentation of prostate zones and to evaluate the performance of the algorithm …

Graph‐convolutional‐network‐based interactive prostate segmentation in MR images

Z Tian, X Li, Y Zheng, Z Chen, Z Shi, L Liu… - Medical …, 2020 - Wiley Online Library
Purpose Accurate and robust segmentation of the prostate from magnetic resonance (MR)
images is extensively applied in many clinical applications in prostate cancer diagnosis and …

CCT-Unet: A U-shaped Network based on Convolution Coupled Transformer for Segmentation of Peripheral and Transition Zones in Prostate MRI

Y Yan, R Liu, H Chen, L Zhang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The accurate segmentation of prostate region in magnetic resonance imaging (MRI) can
provide reliable basis for artificially intelligent diagnosis of prostate cancer. Transformer …

Anisotropic 3D multi-stream CNN for accurate prostate segmentation from multi-planar MRI

A Meyer, G Chlebus, M Rak, D Schindele… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objective: Accurate and reliable segmentation of the prostate
gland in MR images can support the clinical assessment of prostate cancer, as well as the …

[HTML][HTML] Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology

S Montagne, D Hamzaoui, A Allera, M Ezziane… - Insights into …, 2021 - Springer
Background Accurate prostate zonal segmentation on magnetic resonance images (MRI) is
a critical prerequisite for automated prostate cancer detection. We aimed to assess the …

Deep learning in magnetic resonance prostate segmentation: A review and a new perspective

D Gillespie, C Kendrick, I Boon, C Boon… - arXiv preprint arXiv …, 2020 - arxiv.org
Prostate radiotherapy is a well established curative oncology modality, which in future will
use Magnetic Resonance Imaging (MRI)-based radiotherapy for daily adaptive radiotherapy …

Training auxiliary prototypical classifiers for explainable anomaly detection in medical image segmentation

W Cho, J Park, J Choo - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Abstract Machine learning-based algorithms using fully convolutional networks (FCNs) have
been a promising option for medical image segmentation. However, such deep networks …