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Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge
21
Zitationen
22
Autoren
2022
Jahr
Abstract
Rapid advancement in automated semantic segmentation of kidney lesions is possible with relatively high accuracy when the data is released publicly, and participation is incentivized. We hope that our findings will encourage further research that would enable the potential of adopting AI into the medical field.
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Autoren
- Niranjan 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