From d7c469062d09d9e8f151328b36a7d2248ab7f7e3 Mon Sep 17 00:00:00 2001
From: Renato Cuocolo <42030660+rcuocolo@users.noreply.github.com>
Date: Fri, 24 Jul 2020 10:35:29 +0200
Subject: [PATCH] Update README.md

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 README.md | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 3cb9ac2..f9e655e 100644
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-# PROSTATEx_masks
+# PROSTATEx masks
+
+## Introduction
 
 Lesion masks for the PROSTATEx dataset (https://wiki.cancerimagingarchive.net/display/Public/SPIE-AAPM-NCI+PROSTATEx+Challenges).
 The PROSTATEx dataset comprises prostate MRI exams with PI-RADS score = 2+ lesions. These are classified as clinically significant or not. Only PI-RADS score = 3+ underwent biopsy and are collected in the PROSTATEx 2 dataset, together with the resulting bioptic lesion Gleason Grade.
 
-The original dataset only provided lesion coordinates and an accompanying screenshot for each finding, with several issues due to misplaced coordinates or not clearly identifiable PI-RADS score = 2 lesions. This repository contains the result of a lesion-by-lesion quality check conducted at the Department of Advanced Biomedical Sciences of the University of Naples "Federico II", in the form of lesion masks on axial T2-weighted and ADC images for all correctly identifiable findings in the PROSTATEx/PROSTATEx training dataset. As the ground truth was not available for the test sets, the same quality check was not performed on that data.
+The original dataset only provided lesion coordinates and an accompanying screenshot for each finding, with several issues due to misplaced coordinates or not clearly identifiable PI-RADS score = 2 lesions. This repository contains the result of a lesion-by-lesion quality check conducted at the Department of Advanced Biomedical Sciences of the University of Naples "Federico II", in the form of lesion masks on axial T2-weighted and ADC images for all correctly identifiable findings in the PROSTATEx/PROSTATEx2 training dataset. As the ground truth was not available for the test sets, the same quality check was not performed on that data.
 
 We encourage the use of this data for radiomics and machine learning investigations in magnetic resonance imaging for prostate cancer, appropriately referencing the repository. 
 
-# PROSTATEx_masks
+## Files
 
 The files are in compressed NIFTI (.nii.gz) format and collected in separate folders for T2 and ADC images. Each filename contains the following information: