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