Segmentation of Kidney Tumor

Authors
Dahiya, Navdeep
Sharma, Alok

Issue Date
2019

Publisher
University of Minnesota Libraries Publishing

Type
Article

Abstract
Medical Image Segmentation is a routine task in various clinical settings. There is a great interest in understanding the morphology of different human organs healthy or diseased. Until fairly recently, this task was done manually by clinical experts requiring years of difficult training tailored to specific medical fields. In this article we present a fully autonomous Machine Learning based method to segment Kidney and Tumor from human abdominal CT scans. Manually annotated data (210 datasets) were provided as a part of the Kits2109 MICCAI grandchallenge.

Identifiers
doi: 10.24926/548719.060