Deep learning for histopathological segmentation of smooth muscle in the urinary bladder.

Journal: BMC medical informatics and decision making
Published Date: Jul 15, 2023

Abstract

BACKGROUND: Histological assessment of smooth muscle is a critical step particularly in staging malignant tumors in various internal organs including  the urinary bladder. Nonetheless, manual segmentation and classification of muscular tissues by pathologists is often challenging. Therefore, a fully automated and reliable smooth muscle image segmentation system is in high demand.

Authors

  • Sridevi K Subramanya
    Thomas H. Gosnell School of Life Sciences, Rochester Institute of Technology, 1 Lomb Memorial Drive, Rochester, NY, 14623, USA.
  • Rui Li
    Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Science, Beijing, China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Hiroshi Miyamoto
    Departments of Pathology and Microbiology, Faculty of Medicine, Saga University, Saga, Japan.
  • Feng Cui
    Thomas H. Gosnell School of Life Sciences, Rochester Institute of Technology, 84 Lomb Memorial Drive, Rochester, New York, 14623, USA.

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