Rediminds Entry in KiTS19 Competition

Authors
Alia, Hamid
Zeffiroa, Trevor
Reddy Nallabasannagaria, Anubhav
Reddiboinaa, Madhu
Bhandaria, Mahendera

Issue Date
2019

Publisher
University of Minnesota Libraries Publishing

Type
Article

Abstract
Since its presentation in 2015, U-Net has been rapidly adopted by the medical imaging community. However, due to the large number of interrelated parameters, different implementations of preprocessing, architechture, and training can result in wildly different levels of performance, thus, establishing a baseline by which we can compare the results of different methods. As such, in our submission we submit the results of high-resolution 3 dimensional segmentation of kidney and tumor using NN-Unet.

Identifiers
doi: 10.24926/548719.035