Work

Rediminds Entry in KiTS19 Competition

Year: 2019

Type: conference-paper

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.

Source: Kidney Tumor Segmentation Challenge (KiTS)

DOI: 10.24926/548719.035

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

Institution: Vattikuti Foundation

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2978014643

FWCI:

Cites: 2

Cited by:

Related to: 10