Deep-learning models for differentiation of xanthogranulomatous cholecystitis and gallbladder cancer on ultrasound.

Journal: Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology
PMID: 38110782

Abstract

BACKGROUND: The radiological differentiation of xanthogranulomatous cholecystitis (XGC) and gallbladder cancer (GBC) is challenging yet critical. We aimed at utilizing the deep learning (DL)-based approach for differentiating XGC and GBC on ultrasound (US).

Authors

  • Pankaj Gupta
    Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
  • Soumen Basu
    Department of Computer Science and Engineering, Indian Institute of Technology, New Delhi, 110 016, India.
  • Thakur Deen Yadav
    Department of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India.
  • Lileswar Kaman
    Department of General Surgery, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India.
  • Santosh Irrinki
    Department of General Surgery, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India.
  • Harjeet Singh
    Department of Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
  • Gaurav Prakash
    Department of Hemato-Oncology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
  • Parikshaa Gupta
    Department of Cytology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India.
  • Ritambhra Nada
    Department of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India.
  • Usha Dutta
    Department of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
  • Manavjit Singh Sandhu
    Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India.
  • Chetan Arora
    Department of Computer Science and Engineering, Indian Institute of Technology, New Delhi, India.

Keywords

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