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

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.

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