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

BMC Womens Health. 2024 Nov 11;24(1):602. doi: 10.1186/s12905-024-03435-y.

Zhixiang Wang^{1

2}, Huiqiao Gao³, Xinghao Wang^{2

4}, Marcin Grzegorzek^{4

5}, Jinfeng Li³, Hengzi Sun³, Yidi Ma³, Xuefang Zhang³, Zhen Zhang², Andre Dekker², Alberto Traverso², Zhenyu Zhang³, Linxue Qian¹, Meizhu Xiao^#⁶, Ying Feng^#⁷

¹ Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
² Department of Radiation Oncology (Maastro), GROW-School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
³ Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
⁴ Institute for Medical Informatics, University of Luebeck, 23562, Luebeck, Germany.
⁵ German Research Center for Artificial Intelligence, (DFKI), Lübeck, Germany.
⁶ Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China. meizhubailu164@126.com.
⁷ Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China. 15116988424@163.com.

^# Contributed equally.

No abstract available

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