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

• 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

Affiliations

Zhixiang Wang

Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University

Huiqiao Gao

Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University

Xinghao Wang

Department of Radiation Oncology (Maastro), GROW-School for Oncology, Maastricht University Medical Centre+

Marcin Grzegorzek

Institute for Medical Informatics, University of Luebeck

Jinfeng Li

Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University

Hengzi Sun

Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University

Yidi Ma

Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University

Xuefang Zhang

Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University

Zhen Zhang

Department of Radiation Oncology (Maastro), GROW-School for Oncology, Maastricht University Medical Centre+

Andre Dekker

Department of Radiation Oncology (Maastro), GROW-School for Oncology, Maastricht University Medical Centre+

Alberto Traverso

Department of Radiation Oncology (Maastro), GROW-School for Oncology, Maastricht University Medical Centre+

Zhenyu Zhang

Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University

Linxue Qian

Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University

Meizhu Xiao

Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University

Ying Feng

Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University