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1904.00445
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The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
31 March 2019
N. Heller
N. Sathianathen
A. Kalapara
E. Walczak
K. Moore
H. Kaluzniak
J. Rosenberg
P. Blake
Z. Rengel
Makinna Oestreich
Joshua Dean
M. Tradewell
Aneri Shah
R. Tejpaul
Zach Edgerton
M. Peterson
Shaneabbas Raza
S. Regmi
Nikolaos Papanikolopoulos
C. Weight
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Papers citing
"The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes"
4 / 4 papers shown
Title
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Jannis Becktepe
Leona Hennig
Steffen Oeltze-Jafra
Marius Lindauer
197
0
0
22 May 2025
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
Muhammad Imran
J. Krebs
Vishal Balaji Sivaraman
Teng Zhang
Amarjeet Kumar
...
Gilbert R. Upchurch Jr.
Jun Ma
Yuyin Zhou
M. Cooper
Wei Shao
66
0
0
07 Feb 2025
RadGPT: Constructing 3D Image-Text Tumor Datasets
P. R. Bassi
Mehmet Can Yavuz
Kang Wang
Xiaoxi Chen
Wenxuan Li
S. Decherchi
Andrea Cavalli
Yang Yang
Alan Yuille
Zongwei Zhou
LM&MA
MedIm
99
1
0
08 Jan 2025
Imperfect Segmentation Labels: How Much Do They Matter?
N. Heller
Joshua Dean
Nikolaos Papanikolopoulos
55
37
0
12 Jun 2018
1
