AIMC Topic: Prostate

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The challenges facing deep learning-based catheter localization for ultrasound guided high-dose-rate prostate brachytherapy.

Medical physics
BACKGROUND: Automated catheter localization for ultrasound guided high-dose-rate prostate brachytherapy faces challenges relating to imaging noise and artifacts. To date, catheter reconstruction during the clinical procedure is performed manually. De...

Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images.

Scientific reports
Although the emergence of multi-parametric magnetic resonance imaging (mpMRI) has had a profound impact on the diagnosis of prostate cancers (PCa), analyzing these images remains still complex even for experts. This paper proposes a fully automatic s...

Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process.

Medical physics
BACKGROUND: Radiation treatment is considered an effective and the most common treatment option for prostate cancer. The treatment planning process requires accurate and precise segmentation of the prostate and organs at risk (OARs), which is laborio...

Robot-assisted radical prostatectomy training: Description of a canine cadaveric model.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Assess the relevance of a canine model in robot-assisted radical prostatectomy (RARP) training.