Skip navigation


  • DSpace logo
  • Home
  • Collections
  • Researcher Profile
  • Explore by
    • Researcher Profile
  • VGU library
  • Help
  • User Guide
  • Sign on to:
    • My DSpace
    • Receive email
      updates
    • Edit Account details

VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/991
Title: Liver segmentation using fully convolution neural networks
Authors: Ho Quoc Dat 
Issue Date: 2020
Abstract: 
Medical segmentation is a promising field in semantic segmentation in the current years due to the explosive growth of computational power and development of many deep neural networks. Liver segmentation, being a branch of medical segmentation, has its place for being critical in helping with early diagnosis of liver-related diseases. Fully automated liver segmentation is also vital because of the limited manpower of highly trained professionals that usually perform the task of liver segmentation. In addition, segmenting thousands of slices done by professionals is a time-consuming and error-prone process which is desperately in need for a better, less painstaking method. Our project focuses on this aspect to develop a fully automated liver segmentation tool that can execute the liver segmentation with competitive accuracy and low error by using a hybrid of residual network with fully convolutional network - ResUNet as the baseline model. ResUNet was trained using a combination of MICCAI LiTS challenge dataset and 3DIRCAD dataset. Despites having limited computational power, I was able to achieve approximately 91% and 87% dice coefficient score on the liver segmentation of 3DIRCAD dataset and MICCAI LiTS dataset, respectively.
URI(1): http://epub.vgu.edu.vn/handle/dlibvgu/991
Rights: Attribution-NonCommercial 4.0 International
Appears in Collections:Computer Science (CS)

Files in This Item:
File Description SizeFormat Existing users please Login
Liver segmentation using fully convolution neural networks.pdf9.08 MBAdobe PDF
Show full item record

Page view(s)

93
checked on Oct 16, 2025

Download(s)

46
checked on Oct 16, 2025

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons

© Copyright 2020 by Vietnamese - German University Library.
Add: Ring road 4, Quarter 4, Thoi Hoa Ward, Ben Cat City, Binh Duong Province
Tel.:(0274) 222 0990. Ext.: 70206