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Radiomics

Brain Tumor Segmentation

The goal in this section is to perform segmentation of brain tumors (gliomas) on MRI-image data coming from the TCGA-GBM archive (also featured in the BraTS Challenge).

These files can be found inside the Gliomas folder.

3D Classification model for Testicular Tumors

Last year (September 2021) Feliciani et al., have made a dataset of Testicular Germ and Testicular Non-germ Cell Tumors public.

*The description of the dataset is below: * a) Original images:

T1-weighted (T1w) and T2-weighted (T2w MRI images in DICOM format referring to scrotal region of patients affected by testicular neoplasm. All MR T2 and T1 weighted sequences were acquired with the same 1.5 T Scanner (Achieva Philips, Philips Healthcare, Best, Netherlands) by using a surface coil (Philips Sense Flex Medium coil). Sequences were acquired with the patients in feet first supine position. The surface coil was positioned over a towel covering the scrotum after adequate positioning of the penis raised and fixed to the lower abdominal wall. A peripheral venous access (19-gauge) was obtained in an antecubital fossa vein.

b) Contouring RadioTheraphy Structure Set: Manual contouring in DICOM format, performed by expert radiologists analysing the testis and the associated lesion. c) Summary of the characteristics of the patients: Excel Table reporting the demographic, clinical and visual characteristics of the patients. MAIN CONTACTS:

Giacomo Feliciani, IRCCS IRST Meldola, Italy. Email: [email protected] Lorenzo Mellini, Department of Morphology Surgery and Experimental Medicine, University of Ferrara, Italy. Email: [email protected]

The dataset can be freely downloaded at this address and the article can be found here

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Deep Learning with medical images

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