Publicly Available Datasets

Plublication Title

Files Description
link to the article Open access to the article at journals.plos.org
supporting_figures.zip Files DWI-Mono-ADCm-xxx.png, T2-fitted-xxx.png, and T2w-std-xxx.png correspond to ADCm and T2 parametric maps, and T2-weighted images of each patient, respectively. On the first row of slices they show positions of regions of interest placed on the prostate cancer lesions (red, yellow) and around whole prostate (white). The prostate mask is on the second row, while the remaining rows are lesion masks. Files histology-xx.jpg contain the whole mount prostatectomy sections of each patient, with tumor outlines in green. Please note that identical MRI acquisition protocol has been used on all patients, including slice thickness. Here all prostate cancer masks are show with corresponding whole mount prostatectomy sections.
lesion_radiomics.zip This file contains 7105 radiomics calculated for each 100 lesion from 62 patients in CSV format (comma-separated values). The first column contains the patient ID number. The second column contains the Gleason score group used for classifying: -1 for low score group, 1 for high score group. The rest of the columns are the calculated feature averages over each lesion. The first row with column description contains the feature names.
Files Description
README.txt
https://github.com/haanme/ProstateFeatures Feature extraction algorithms
Scan_1_QC Quality control files for 1st repetition
Scan_2_QC Quality control files for 2nd repetition
Features_ADCk_N78_rep1.txt Most relevant features of 1st repetition of ADCk in training/validation set
Features_ADCk_N78_rep2.txt Most relevant features of 2nd repetition of ADCk in training/validation set
Features_K_N78_rep1.txt Most relevant features of 1st repetition of K in training/validation set
Features_K_N78_rep2.txt Most relevant features of 2nd repetition of K in training/validation set