Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge

Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge

Purpose: Clinicians rely on imaging features to calculate complexity of renal masses based on validated scoring systems. These scoring methods are labor-intensive and are subjected to interobserver variability. Artificial intelligence has been increasingly utilized by the medical community to solve...

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Bibliographic Details
Main Authors: Niranjan J. Sathianathen, Nicholas Heller, Resha Tejpaul, Bethany Stai, Arveen Kalapara, Jack Rickman, Joshua Dean, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Nikolaos Papanikolopoulos, Christopher Weight
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Digital Health
Subjects:
kidney tumors
semantic segmentation
medical images
renal mass
ct scans
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2021.797607/full

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