Segmentation of low-grade gliomas using U-Net VGG16 with transfer learning

Dwilaksana Abdullah Rasyid, Guan Hua Huang, Nur Iriawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Around 2000 cases of gliomas are diagnosed every year in the US, representing 23.41 percent of all primary brain tumors. World Health Organization (WHO) grade II gliomas or Low-Grade Gliomas (LGG) are slow-growing brain tumors. LGG is a fatal disease of young adults (between 35 and 44 years of age). LGG can transform into High-Grade Gliomas (HGG) or WHO grades III and IV occurred in most patients and ultimately leading to death. General treatment for LGG patients is surgical resection, radiotherapy, and chemotherapy. Fluid-Attenuated Inversion Recovery (FLAIR) imaging is needed to determine the tumor location before doing surgical resection. We propose a combined architectural innovation of U-Net and VGG16 with transfer learning as a hybrid model for tumor segmentation. Employing the preoperative FLAIR imaging data of 110 patients with LGG from the Cancer Genome Atlas, this deep learning algorithm achieves a high result with the Dice Similarity Coefficient of 99% and the Area Under Curve (AUC) of 98%, better than the previous approach done by Buda, et al.

Original languageEnglish
Title of host publicationProceedings of the Confluence 2021
Subtitle of host publication11th International Conference on Cloud Computing, Data Science and Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages393-398
Number of pages6
ISBN (Electronic)9780738131603
DOIs
StatePublished - 28 Jan 2021
Event11th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2021 - Virtual, Nodia, India
Duration: 28 Jan 202129 Jan 2021

Publication series

NameProceedings of the Confluence 2021: 11th International Conference on Cloud Computing, Data Science and Engineering

Conference

Conference11th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2021
Country/TerritoryIndia
CityVirtual, Nodia
Period28/01/2129/01/21

Keywords

  • Brain Tumor Segmentation
  • LGG
  • U-Net
  • VGG16

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