[Volume Measurements of Post-transplanted Liver of Pediatric Recipients Using Workstations and Deep Learning].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi

Published Date: Jan 1, 2020

Abstract

PURPOSE: The purpose of this study was to propose a method for segmentation and volume measurement of graft liver and spleen of pediatric transplant recipients on digital imaging and communications in medicine (DICOM) -format images using U-Net and three-dimensional (3-D) workstations (3DWS) .

Authors

Toru Esaki

Department of Radiologic Technology, Jichi Medical University Hospital.
Rieko Furukawa

Department of Pediatric Medical Imaging, Jichi Children's Medical Center Tochigi.

Keywords

Child Deep Learning Humans Image Processing, Computer-Assisted Liver Liver Transplantation Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (33229843)

[Volume Measurements of Post-transplanted Liver of Pediatric Recipients Using Workstations and Deep Learning].

Abstract

Authors

Keywords

External Resources

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