Exploring Deep Learning Applications using Ultrasound Single View Cines in Acute Gallbladder Pathologies: Preliminary Results.

Journal: Academic radiology
PMID: 39306521

Abstract

RATIONALE AND OBJECTIVES: In this preliminary study, we aimed to develop a deep learning model using ultrasound single view cines that distinguishes between imaging of normal gallbladder, non-urgent cholelithiasis, and acute calculous cholecystitis requiring urgent intervention.

Authors

  • Connie Ge
    University of Massachusetts Chan Medical School, Department of Radiology, Worcester, MA (C.G., P.S., V.F., Y.H.K.).
  • Junbong Jang
    Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, United States of America.
  • Patrick Svrcek
    University of Massachusetts Chan Medical School, Department of Radiology, Worcester, MA (C.G., P.S., V.F., Y.H.K.).
  • Victoria Fleming
    University of Massachusetts Chan Medical School, Department of Radiology, Worcester, MA (C.G., P.S., V.F., Y.H.K.).
  • Young H Kim
    Department of Radiology, Keimyung University School of Medicine, Dongsan Hospital, Daegu, South Korea.

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