Correction: A multi-task learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery ( vol 24 , 425 , 2024 )

Zhixiang Wang; Huiqiao Gao; Xinghao Wang; Marcin Grzegorzek; Jinfeng Li; Hengzi Sun; Yidi Ma; Xuefang Zhang; Zhen Zhang; Andre Dekker; Alberto Traverso; Zhenyu Zhang; Linxue Qian; Meizhu Xiao; Ying Feng

doi:10.1186/s12905-024-03435-y

Correction: A multi-task learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery ( vol 24 , 425 , 2024 )

Zhixiang Wang, Huiqiao Gao, Xinghao Wang, Marcin Grzegorzek, Jinfeng Li, Hengzi Sun, Yidi Ma, Xuefang Zhang, Zhen Zhang, Andre Dekker, Alberto Traverso, Zhenyu Zhang, Linxue Qian, Meizhu Xiao^*, Ying Feng^*

^*Corresponding author for this work

Research output: Contribution to journal › Erratum / corrigendum / retractions › Academic

Abstract

The original publication of this article [1] contained an incorrect affiliation for Zhixiang Wang. The incorrect and correct information is listed in this correction article, the original article has been updated.

Original language	English
Article number	602
Number of pages	1
Journal	BMC Women's Health
Volume	24
Issue number	1
DOIs	https://doi.org/10.1186/s12905-024-03435-y
Publication status	Published - 11 Nov 2024

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10.1186/s12905-024-03435-yLicence: CC BY

1 Article

A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery
Wang, Z., Gao, H., Wang, X., Grzegorzek, M., Li, J., Sun, H., Ma, Y., Zhang, X., Zhang, Z., Dekker, A., Traverso, A., Zhang, Z., Qian, L., Xiao, M. & Feng, Y., 26 Jul 2024, In: BMC Women's Health. 24, 1, 8 p., 425.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access

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Wang, Z., Gao, H., Wang, X., Grzegorzek, M., Li, J., Sun, H., Ma, Y., Zhang, X., Zhang, Z., Dekker, A., Traverso, A., Zhang, Z., Qian, L., Xiao, M., & Feng, Y. (2024). Correction: A multi-task learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery ( vol 24 , 425 , 2024 ). BMC Women's Health, 24(1), Article 602. https://doi.org/10.1186/s12905-024-03435-y

@article{13d13161d6684c528c67763e1bfd1605,

title = "Correction: A multi-task learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery ( vol 24 , 425 , 2024 )",

abstract = "The original publication of this article [1] contained an incorrect affiliation for Zhixiang Wang. The incorrect and correct information is listed in this correction article, the original article has been updated.",

author = "Zhixiang Wang and Huiqiao Gao and Xinghao Wang and Marcin Grzegorzek and Jinfeng Li and Hengzi Sun and Yidi Ma and Xuefang Zhang and Zhen Zhang and Andre Dekker and Alberto Traverso and Zhenyu Zhang and Linxue Qian and Meizhu Xiao and Ying Feng",

year = "2024",

month = nov,

day = "11",

doi = "10.1186/s12905-024-03435-y",

language = "English",

volume = "24",

journal = "BMC Women's Health",

issn = "1472-6874",

publisher = "BioMed Central Ltd",

number = "1",

}

Wang, Z, Gao, H, Wang, X, Grzegorzek, M, Li, J, Sun, H, Ma, Y, Zhang, X, Zhang, Z , Dekker, A, Traverso, A, Zhang, Z, Qian, L, Xiao, M & Feng, Y 2024, 'Correction: A multi-task learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery ( vol 24 , 425 , 2024 )', BMC Women's Health, vol. 24, no. 1, 602. https://doi.org/10.1186/s12905-024-03435-y

Correction: A multi-task learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery ( vol 24 , 425 , 2024 ). / Wang, Zhixiang; Gao, Huiqiao; Wang, Xinghao et al.
In: BMC Women's Health, Vol. 24, No. 1, 602, 11.11.2024.

Research output: Contribution to journal › Erratum / corrigendum / retractions › Academic

TY - JOUR

T1 - Correction: A multi-task learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery ( vol 24 , 425 , 2024 )

AU - Wang, Zhixiang

AU - Gao, Huiqiao

AU - Wang, Xinghao

AU - Grzegorzek, Marcin

AU - Li, Jinfeng

AU - Sun, Hengzi

AU - Ma, Yidi

AU - Zhang, Xuefang

AU - Zhang, Zhen

AU - Dekker, Andre

AU - Traverso, Alberto

AU - Zhang, Zhenyu

AU - Qian, Linxue

AU - Xiao, Meizhu

AU - Feng, Ying

PY - 2024/11/11

Y1 - 2024/11/11

N2 - The original publication of this article [1] contained an incorrect affiliation for Zhixiang Wang. The incorrect and correct information is listed in this correction article, the original article has been updated.

AB - The original publication of this article [1] contained an incorrect affiliation for Zhixiang Wang. The incorrect and correct information is listed in this correction article, the original article has been updated.

U2 - 10.1186/s12905-024-03435-y

DO - 10.1186/s12905-024-03435-y

M3 - Erratum / corrigendum / retractions

SN - 1472-6874

VL - 24

JO - BMC Women's Health

JF - BMC Women's Health

IS - 1

M1 - 602

ER -

Correction: A multi-task learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery ( vol 24 , 425 , 2024 )

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A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery

Cite this