A lightweight hybrid model for the automatic recognition of uterine fibroid ultrasound images based on deep learning.

Journal: Journal of clinical ultrasound : JCU
PMID: 38676550

Abstract

PURPOSE: Uterine fibroids (UF) are the most frequent tumors in ladies and can pose an enormous threat to complications, such as miscarriage. The accuracy of prognosis may also be affected by way of doctor inexperience and fatigue, underscoring the want for automatic classification fashions that can analyze UF from a giant wide variety of images.

Authors

  • Peiya Cai
    Department of Gynecology and Obstetrics, Fujian Medical University 2nd Affiliated Hospital, Quanzhou, China.
  • Tiantian Yang
    College of Engineering, Huaqiao University, Quanzhou, China.
  • Qinglai Xie
    School of Physics and Information Engineering, Quanzhou Normal University, Quanzhou, China.
  • Peizhong Liu
    College of Engineering, Huaqiao University, No. 269, Chenghua North Road, Quanzhou, 362021, Fujian, China. pzliu@hqu.edu.cn.
  • Ping Li
    Department of Gastroenterology, Beijing Ditan Hospital, Capital Medical University, Beijing, China.

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