The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.

Heller N, Isensee F, Maier-Hein KH, Hou X, Xie C, Li F, Nan Y, Mu G, Lin Z, Han M, Yao G, Gao Y, Zhang Y, Wang Y, Hou F, Yang J, Xiong G, Tian J, Zhong C, Ma J, Rickman J, Dean J, Stai B, Tejpaul R, Oestreich M, Blake P, Kaluzniak H, Raza S, Rosenberg J, Moore K, Walczak E, Rengel Z, Edgerton Z, Vasdev R, Peterson M, McSweeney S, Peterson S, Kalapara A, Sathianathen N, Papanikolopoulos N, Weight C

Open source

DOI: 10.1016/j.media.2020.101821
Published: 2021 Jan
Container: Medical image analysis
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.media.2020.101821,
  title = {The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.},
  author = {Heller N and Isensee F and Maier-Hein KH and Hou X and Xie C and Li F and Nan Y and Mu G and Lin Z and Han M and Yao G and Gao Y and Zhang Y and Wang Y and Hou F and Yang J and Xiong G and Tian J and Zhong C and Ma J and Rickman J and Dean J and Stai B and Tejpaul R and Oestreich M and Blake P and Kaluzniak H and Raza S and Rosenberg J and Moore K and Walczak E and Rengel Z and Edgerton Z and Vasdev R and Peterson M and McSweeney S and Peterson S and Kalapara A and Sathianathen N and Papanikolopoulos N and Weight C},
  year = {2021},
  journal = {Medical image analysis},
  doi = {10.1016/j.media.2020.101821},
  url = {https://doi.org/10.1016/j.media.2020.101821}
}

RIS

TY  - JOUR
TI  - The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.
AU  - Heller N
AU  - Isensee F
AU  - Maier-Hein KH
AU  - Hou X
AU  - Xie C
AU  - Li F
AU  - Nan Y
AU  - Mu G
AU  - Lin Z
AU  - Han M
AU  - Yao G
AU  - Gao Y
AU  - Zhang Y
AU  - Wang Y
AU  - Hou F
AU  - Yang J
AU  - Xiong G
AU  - Tian J
AU  - Zhong C
AU  - Ma J
AU  - Rickman J
AU  - Dean J
AU  - Stai B
AU  - Tejpaul R
AU  - Oestreich M
AU  - Blake P
AU  - Kaluzniak H
AU  - Raza S
AU  - Rosenberg J
AU  - Moore K
AU  - Walczak E
AU  - Rengel Z
AU  - Edgerton Z
AU  - Vasdev R
AU  - Peterson M
AU  - McSweeney S
AU  - Peterson S
AU  - Kalapara A
AU  - Sathianathen N
AU  - Papanikolopoulos N
AU  - Weight C
PY  - 2021
JO  - Medical image analysis
DO  - 10.1016/j.media.2020.101821
UR  - https://doi.org/10.1016/j.media.2020.101821
ER  -

APA

N, H., F, I., KH, M., X, H., C, X., F, L., Y, N., G, M., Z, L., M, H., G, Y., Y, G., Y, Z., Y, W., F, H., J, Y., G, X., J, T., C, Z., J, M., J, R., J, D., B, S., R, T., M, O., P, B., H, K., S, R., J, R., K, M., E, W., Z, R., Z, E., R, V., M, P., S, M., S, P., A, K., N, S., N, P., & C, W. (2021). The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.. Medical image analysis. https://doi.org/10.1016/j.media.2020.101821

Source records

pubmed · retrieved 2026-09-25T11:59:39.102Z