A Deep Learning Approach for Liver Segmentation and Lesion Detection in Medical Images Using U-Net Segmentation Model

Kaushik Mahida, Daniel Jin, Bilal Khan, Wasiq Khan, Khalil Dajani, Jennifer Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationDeSE 2023 - Proceedings
Subtitle of host publication16th International Conference on Developments in eSystems Engineering
EditorsDhiya Al-Jumeily Obe, Sulaf Assi, Manoj Jayabalan, Jade Hind, Abir Hussain, Hissam Tawfik, Neil Rowe, Jamila Mustafina
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages116-121
Number of pages6
ISBN (Electronic)9798350381344
DOIs
StatePublished - 2023
Event16th International Conference on Developments in eSystems Engineering, DeSE 2023 - Istanbul, Turkey
Duration: Dec 18 2023Dec 20 2023

Publication series

NameProceedings - International Conference on Developments in eSystems Engineering, DeSE
ISSN (Print)2161-1343

Conference

Conference16th International Conference on Developments in eSystems Engineering, DeSE 2023
Country/TerritoryTurkey
CityIstanbul
Period12/18/2312/20/23

ASJC Scopus Subject Areas

  • Health Informatics
  • Computer Science Applications
  • Control and Systems Engineering
  • Artificial Intelligence

Keywords

  • Liver segmentation
  • U-Net
  • computed tomography (CT)
  • computer vision
  • deep learning
  • magnetic resonance imaging (MRI)

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