U-Net based deep convolutional neural network models for liver segmentation from CT scan images

U-Net based deep convolutional neural network models for liver segmentation from CT scan images

Liver segmentation is a critical task for diagnosis, treatment and follow-up processes of liver cancer. Computed Tomography (CT) scans are the common medical image modality for the segmentation task. Liver segmentation is considered a very hard task for many reasons. Medical images are limited for r...

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Bibliographic Details
Main Author: Khattab, Mahmoud Abdelazim Helmy Mahmoud
Format: Thesis (University of Nottingham only)
Language:English
Published: 2021
Subjects:
U-Net; liver segmentation; CNN; medical image segmentation; neural network models
Online Access:https://eprints.nottingham.ac.uk/65574/

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