This repository contains all data associated with the 'Prostate MR Image Segmentation'-challenge 2012 on https://promise12.grand-challenge.org/. The goal of this challenge was to compare interactive and (semi)-automatic segmentation algorithms for MRI of the prostate
Prostate cancer is the most common cancer in men after lung cancer. Generally, the segmentation of t...
The role of the tumor peripheral microenvironment to establish prostate cancer invasiveness is gaini...
Prostate cancer treatment by radiation therapy requires an accurate localisation of the prostate. Fo...
This repository contains all data associated with the 'Prostate MR Image Segmentation'-challenge 201...
Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI...
Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI...
Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI...
Blurred boundaries and heterogeneous intensities make accurate prostate MR image segmentation proble...
Advances in our understanding of the role of magnetic resonance imaging (MRI) for the detection of p...
Machine learning techniques have shown to be a viable means of analyzing medical images for tumor se...
Segmentation aims to determine which locations within an image contain the object of interest. Segm...
World-wide incidence rate of prostate cancer has progressively increased with time especially with t...
Prostate carcinoma is one of the most prevalent cancers worldwide. Multiparametric magnetic resonanc...
Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a cli...
Multimodal image registration between pre-operative and intra-operative imaging enables the fusion o...
Prostate cancer is the most common cancer in men after lung cancer. Generally, the segmentation of t...
The role of the tumor peripheral microenvironment to establish prostate cancer invasiveness is gaini...
Prostate cancer treatment by radiation therapy requires an accurate localisation of the prostate. Fo...
This repository contains all data associated with the 'Prostate MR Image Segmentation'-challenge 201...
Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI...
Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI...
Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI...
Blurred boundaries and heterogeneous intensities make accurate prostate MR image segmentation proble...
Advances in our understanding of the role of magnetic resonance imaging (MRI) for the detection of p...
Machine learning techniques have shown to be a viable means of analyzing medical images for tumor se...
Segmentation aims to determine which locations within an image contain the object of interest. Segm...
World-wide incidence rate of prostate cancer has progressively increased with time especially with t...
Prostate carcinoma is one of the most prevalent cancers worldwide. Multiparametric magnetic resonanc...
Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a cli...
Multimodal image registration between pre-operative and intra-operative imaging enables the fusion o...
Prostate cancer is the most common cancer in men after lung cancer. Generally, the segmentation of t...
The role of the tumor peripheral microenvironment to establish prostate cancer invasiveness is gaini...
Prostate cancer treatment by radiation therapy requires an accurate localisation of the prostate. Fo...
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