Patch-based classification of gallbladder wall vascularity from laparoscopic images using deep learning.

Journal: International journal of computer assisted radiology and surgery
Published Date: Nov 4, 2020

Abstract

PURPOSE: In this study, we propose a deep learning approach for assessment of gallbladder (GB) wall vascularity from images of laparoscopic cholecystectomy (LC). Difficulty in the visualization of GB wall vessels may be the result of fatty infiltration or increased thickening of the GB wall, potentially as a result of cholecystitis or other diseases.

Authors

  • Constantinos Loukas
    Laboratory of Medical Physics, Medical School, National and Kapodistrian University of Athens, Athens, Greece. cloukas@med.uoa.gr.
  • Maximos Frountzas
    1st Propaedeutic Department of Surgery, Hippocration General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
  • Dimitrios Schizas
    1st Department of Surgery, Laikon General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

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