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

IF 2.4 3区医学 Q2 OBSTETRICS & GYNECOLOGY BMC Women's Health Pub Date : 2024-11-11 DOI:10.1186/s12905-024-03435-y

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

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更正：基于多任务学习的适用人工智能模型可在手术前同时预测宫颈癌的分期、组织学、分级和LNM。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Women's Health OBSTETRICS & GYNECOLOGY-

CiteScore

3.40

自引率

4.00%

发文量

444

审稿时长

>12 weeks

期刊介绍： BMC Women''s Health is an open access, peer-reviewed journal that considers articles on all aspects of the health and wellbeing of adolescent girls and women, with a particular focus on the physical, mental, and emotional health of women in developed and developing nations. The journal welcomes submissions on women''s public health issues, health behaviours, breast cancer, gynecological diseases, mental health and health promotion.

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