Acad Radiol 2020 Sep 14. Epub 2020 Sep 14.
Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases (NIAID), Frederick, MD, 21702, USA; Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute (NCI), Frederick, MD, 21702, USA. Electronic address:
With the advent of deep learning, convolutional neural networks (CNNs) have evolved as an effective method for the automated segmentation of different tissues in medical image analysis. In certain infectious diseases, the liver is one of the more highly affected organs, where an accurate liver segmentation method may play a significant role to improve the diagnosis, quantification, and follow-up. Although several segmentation algorithms have been proposed for liver or liver-tumor segmentation in computed tomography (CT) of human subjects, none of them have been investigated for nonhuman primates (NHPs), where the livers have a wide range in size and morphology. Read More