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Updated readme.
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@@ -11,7 +11,7 @@ We encourage the use of this data for radiomics and machine learning investigati
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### Lesion masks
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The files are in compressed NIFTI (.nii.gz) format and collected in separate folders for T2 and ADC images (n = 299 lesions) within the "lesions/Masks" directory. Each filename contains the following information (separated by underscores):
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The files are in compressed NIFTI (.nii.gz) format and collected in separate folders for T2 and ADC images (n = 299 lesions) within the "Files/lesions/Masks/For_original_DICOMs" directory. Each filename contains the following information (separated by underscores):
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- "PROSTATEx Patient ID" + "Finding ID" + "Sequence name" + "ROI"
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@@ -30,6 +30,8 @@ Patients who were classified as PI-RADS score = 2 did not undergo biopsy and the
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Full exam DICOM files are retrievable through the Cancer Imaging Archive at: [https://wiki.cancerimagingarchive.net/display/Public/SPIE-AAPM-NCI+PROSTATEx+Challenges](https://wiki.cancerimagingarchive.net/display/Public/SPIE-AAPM-NCI+PROSTATEx+Challenges)
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The same set of masks is also available matching the coordinates of the PROSTATEx DICOM files after conversion in NIFTI files using [dcm2niix](https://github.com/rordenlab/dcm2niix). These are located in the "Files/lesions/Masks/For_dcm2niix_files" directory. As there is a known [issue](https://github.com/rcuocolo/PROSTATEx_masks/issues/9) with ADC masks, these should be preferable for the moment.
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### Original coordinate markers
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These 3x3 masks are centered on the original lesion coordinates provided in the PROSTATEx dataset and were employed for the quality control assessment and as the basis for successive whole-lesion segmentation. For the sake of transparency, they are also included in the dataset in the same format as the lesion masks in the "Original_coordinate_markers" folder. This file set includes lesion markers for all axial T2 and ADC images included for each patient.
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