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

doi:10.1109/DeSE60595.2023.10469514

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 proceeding › Conference contribution

Original language	English
Title of host publication	DeSE 2023 - Proceedings
Subtitle of host publication	16th International Conference on Developments in eSystems Engineering
Editors	Dhiya Al-Jumeily Obe, Sulaf Assi, Manoj Jayabalan, Jade Hind, Abir Hussain, Hissam Tawfik, Neil Rowe, Jamila Mustafina
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	116-121
Number of pages	6
ISBN (Electronic)	9798350381344
ISBN (Print)	9798350381344
DOIs	https://doi.org/10.1109/DeSE60595.2023.10469514
State	Published - 2023
Event	16th International Conference on Developments in eSystems Engineering, DeSE 2023 - Istanbul, Turkey Duration: Dec 18 2023 → Dec 20 2023

Publication series

Name	Proceedings - International Conference on Developments in eSystems Engineering, DeSE

Conference

Conference	16th International Conference on Developments in eSystems Engineering, DeSE 2023
Country/Territory	Turkey
City	Istanbul
Period	12/18/23 → 12/20/23

ASJC Scopus Subject Areas

Control and Systems Engineering
Health Informatics
Computer Science Applications
Artificial Intelligence

Keywords

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

Access to Document

10.1109/DeSE60595.2023.10469514

OpenUrl availability

Full text

Cite this

Mahida, K., Jin, D., Khan, B., Khan, W., Dajani, K., & Jin, J. (2023). A Deep Learning Approach for Liver Segmentation and Lesion Detection in Medical Images Using U-Net Segmentation Model. In D. A.-J. Obe, S. Assi, M. Jayabalan, J. Hind, A. Hussain, H. Tawfik, N. Rowe, & J. Mustafina (Eds.), DeSE 2023 - Proceedings: 16th International Conference on Developments in eSystems Engineering (pp. 116-121). (Proceedings - International Conference on Developments in eSystems Engineering, DeSE). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DeSE60595.2023.10469514

A Deep Learning Approach for Liver Segmentation and Lesion Detection in Medical Images Using U-Net Segmentation Model. / Mahida, Kaushik; Jin, Daniel; Khan, Bilal et al.
DeSE 2023 - Proceedings: 16th International Conference on Developments in eSystems Engineering. ed. / Dhiya Al-Jumeily Obe; Sulaf Assi; Manoj Jayabalan; Jade Hind; Abir Hussain; Hissam Tawfik; Neil Rowe; Jamila Mustafina. Institute of Electrical and Electronics Engineers Inc., 2023. p. 116-121 (Proceedings - International Conference on Developments in eSystems Engineering, DeSE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mahida, K, Jin, D, Khan, B, Khan, W, Dajani, K & Jin, J 2023, A Deep Learning Approach for Liver Segmentation and Lesion Detection in Medical Images Using U-Net Segmentation Model. in DA-J Obe, S Assi, M Jayabalan, J Hind, A Hussain, H Tawfik, N Rowe & J Mustafina (eds), DeSE 2023 - Proceedings: 16th International Conference on Developments in eSystems Engineering. Proceedings - International Conference on Developments in eSystems Engineering, DeSE, Institute of Electrical and Electronics Engineers Inc., pp. 116-121, 16th International Conference on Developments in eSystems Engineering, DeSE 2023, Istanbul, Turkey, 12/18/23. https://doi.org/10.1109/DeSE60595.2023.10469514

Mahida K, Jin D, Khan B, Khan W, Dajani K, Jin J. A Deep Learning Approach for Liver Segmentation and Lesion Detection in Medical Images Using U-Net Segmentation Model. In Obe DAJ, Assi S, Jayabalan M, Hind J, Hussain A, Tawfik H, Rowe N, Mustafina J, editors, DeSE 2023 - Proceedings: 16th International Conference on Developments in eSystems Engineering. Institute of Electrical and Electronics Engineers Inc. 2023. p. 116-121. (Proceedings - International Conference on Developments in eSystems Engineering, DeSE). doi: 10.1109/DeSE60595.2023.10469514

Mahida, Kaushik ; Jin, Daniel ; Khan, Bilal et al. / A Deep Learning Approach for Liver Segmentation and Lesion Detection in Medical Images Using U-Net Segmentation Model. DeSE 2023 - Proceedings: 16th International Conference on Developments in eSystems Engineering. editor / Dhiya Al-Jumeily Obe ; Sulaf Assi ; Manoj Jayabalan ; Jade Hind ; Abir Hussain ; Hissam Tawfik ; Neil Rowe ; Jamila Mustafina. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 116-121 (Proceedings - International Conference on Developments in eSystems Engineering, DeSE).

@inproceedings{4359138bc0794151996ce14c031a34e7,

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

keywords = "Liver segmentation, U-Net, computed tomography (CT), computer vision, deep learning, magnetic resonance imaging (MRI)",

author = "Kaushik Mahida and Daniel Jin and Bilal Khan and Wasiq Khan and Khalil Dajani and Jennifer Jin",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 16th International Conference on Developments in eSystems Engineering, DeSE 2023 ; Conference date: 18-12-2023 Through 20-12-2023",

year = "2023",

doi = "10.1109/DeSE60595.2023.10469514",

language = "English",

isbn = "9798350381344",

series = "Proceedings - International Conference on Developments in eSystems Engineering, DeSE",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "116--121",

editor = "Obe, \{Dhiya Al-Jumeily\} and Sulaf Assi and Manoj Jayabalan and Jade Hind and Abir Hussain and Hissam Tawfik and Neil Rowe and Jamila Mustafina",

booktitle = "DeSE 2023 - Proceedings",

}

TY - GEN

T1 - A Deep Learning Approach for Liver Segmentation and Lesion Detection in Medical Images Using U-Net Segmentation Model

AU - Mahida, Kaushik

AU - Jin, Daniel

AU - Khan, Bilal

AU - Khan, Wasiq

AU - Dajani, Khalil

AU - Jin, Jennifer

PY - 2023

Y1 - 2023

KW - Liver segmentation

KW - U-Net

KW - computed tomography (CT)

KW - computer vision

KW - deep learning

KW - magnetic resonance imaging (MRI)

UR - https://www.scopus.com/pages/publications/85189304805

UR - https://www.scopus.com/pages/publications/85189304805#tab=citedBy

UR - https://www.mendeley.com/catalogue/e42d5cca-9cf9-305f-88e0-d271147c894e/

U2 - 10.1109/DeSE60595.2023.10469514

DO - 10.1109/DeSE60595.2023.10469514

M3 - Conference contribution

AN - SCOPUS:85189304805

SN - 9798350381344

T3 - Proceedings - International Conference on Developments in eSystems Engineering, DeSE

SP - 116

EP - 121

BT - DeSE 2023 - Proceedings

A2 - Obe, Dhiya Al-Jumeily

A2 - Assi, Sulaf

A2 - Jayabalan, Manoj

A2 - Hind, Jade

A2 - Hussain, Abir

A2 - Tawfik, Hissam

A2 - Rowe, Neil

A2 - Mustafina, Jamila

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th International Conference on Developments in eSystems Engineering, DeSE 2023

Y2 - 18 December 2023 through 20 December 2023

ER -

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

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

OpenUrl availability

Other files and links

Cite this