An automatic classification method of testicular histopathology based on SC-YOLO framework.

Journal: BioTechniques
PMID: 39263950

Abstract

The pathological diagnosis and treatment of azoospermia depend on precise identification of spermatogenic cells. Traditional methods are time-consuming and highly subjective due to complexity of Johnsen score, posing challenges for accurately diagnosing azoospermia. Here, we introduce a novel SC-YOLO framework for automating the classification of spermatogenic cells that integrates S3Ghost module, CoordAtt module and DCNv2 module, effectively capturing texture and shape features of spermatogenic cells while reducing model parameters. Furthermore, we propose a simplified Johnsen score criteria to expedite the diagnostic process. Our SC-YOLO framework presents the higher efficiency and accuracy of deep learning technology in spermatogenic cell recognition. Future research endeavors will focus on optimizing the model's performance and exploring its potential for clinical applications.

Authors

  • Jinggen Wu
    Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, China.
  • Yao Sun
    School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
  • Yangbo Jiang
    College of Computer Science & Technology, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
  • Yangcheng Bu
    School of Computer Science & Technology, School of Artificial Intelligence, Zhejiang Sci-Tech University, Hangzhou, China.
  • Chong Chen
    Department of Orthorpaedic Surgery, Peking Union Medical College Hospital, No.1 Shuaifuyuan, Dongcheng district, Beijing, 100730, People's Republic of China.
  • Jingping Li
    Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, China.
  • Lejun Li
    Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, China.
  • Weikang Chen
    Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, China.
  • Keren Cheng
    Department of Obstetrics & Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
  • Jian Xu
    Department of Cardiology, Lishui Central Hospital and the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.

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