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Liver Segmentation in CT Images Using Three...
Journal article

Liver Segmentation in CT Images Using Three Dimensional to Two Dimensional Fully Convolutional Network

Abstract

The need for CT scan analysis is growing for diagnosis and therapy of abdominal organs. Automatic organ segmentation of abdominal CT scan can help radiologists analyze the scans faster, and diagnose disease and injury more accurately. However, existing methods are not efficient enough to perform the segmentation process for victims of accidents and emergency situations. In this paper, we propose an efficient liver segmentation with our 3D to 2D …

Authors

Rafiei S; Nasr-Esfahani E; Najarian K; Karimi N; Samavi S; Soroushmehr SMR

Journal

, Vol. 00, , pp. 2067–2071

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

October 7, 2018

DOI

10.1109/icip.2018.8451238

Labels

Sustainable Development Goals (SDG)