Computer-Aided Detection of Kidney Tumors using MRI Images and Deep Learning

Renal cell carcinoma (RCC) is the most common type of kidney cancer, accounting for 3% of all cancers diagnosed in adults. Medical Imaging is essential in diagnosis and treatment of kidney cancers. Magnetic Resonance Imaging (MRI) is now increasingly used in diagnosis and treatment of kidney cancer because of its ability to provide more insights about abnormal tissues. At present the MRI kidney cancer analysis is a manual process therefore, automated faster and accurate method is required to segment kidneys in MRI scans to assist radiologists. The early detection and characterization of kidney cancer is necessary for clinicians to plan the medical treatment in better way. This research study will provide partner organization the automated process for kidney tumor detection using artificial intelligence, which will eliminate the biopsy process of kidney cancer detection in real life.

Faculty Supervisor:

Eran Ukwatta

Student:

Partner:

A.I. VALI

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program: