0000000000335140
AUTHOR
Arnau Oliver
Supervised Learning Framework of Statistical Shape and Probability Priors for Automatic Prostate Segmentation in Ultrasound Images
International audience
PROSTATEANALYZER: GUI ALLOWING THE MANAGEMENT OF EXAMINATIONS OF PROSTATE CANCER
International audience; We propose a framework that comprises visualization and analysis for MR imaging of the prostate and a new storage system of clinical diagnoses in a single package. ProstateAnalyzer is such a network-based database system allowing the management of both MRI and spectroscopy data sets, and performing some basic mathematical operations to analyze a set of prostate images.
Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI
Purpose: The goal of this study is to show the advantage of a collaborative work in the annotation and evaluation of prostate cancer tissues from T2-weighted MRI compared to the commonly used double blind evaluation. Methods: The variability of medical findings focused on the prostate gland (central gland, peripheral and tumoural zones) by two independent experts was firstly evaluated, and secondly compared with a consensus of these two experts. Using a prostate MRI database, experts drew regions of interest (ROIs) corresponding to healthy prostate (peripheral and central zones) and cancer using a semi-automated tool. One of the experts then drew the ROI with knowledge of the other expert's…