- Utilized the publically available data on the Prostate Cancer MRI scans provided by the Medical Segmentation Decathlon Challenge.
- MRI images have been extracted and visualized using the Nibabel library of the python, which is used in Neuroimaging.
- Dataset is differentiated into categorical features and labels using the Keras library from the TensorFlow module.
- The 4D images are visualized using three planes - Coronal Plane, Transverse Plane and Saggital Plane which are denoted in the notebook as Planes - 1,2, and 3 respectively.
- Images visualized are color coded for specific cancer detection in the planes.
- Random sub volumes also specified for a more accurately visualized patch of the Cancer effected Prostate gland.