Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study

Seifedine Kadry; Robertas Damasevicius; David Taniar; Venkatesan Rajinikanth; Isah A. Lawal

doi:10.1109/ICBSII51839.2021.9445152

Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study

Seifedine Kadry
, Robertas Damasevicius
, David Taniar
, Venkatesan Rajinikanth
, Isah A. Lawal

Noroff University College
Silesian University of Technology
Monash University
Anna University

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

29 Scopus citations

Abstract

Breast Cancer (BC) is one of the harsh conditions, which largely affects the women group. Due to its significance, a range of procedures are available for premature detection and early treatment to save the patient. The clinical level diagnosis of BC will be done using; (i) Image supported detection and (ii) Core-Needle-Biopsy (CNB) assisted confirmation. The proposed work aim to develop a computerized scheme to detect the Breast-Tumor-Section (BTS) from the beast MRI slices. This work implements a joint thresholding and segmentation methodology to enhance and extract the BTS from the 2D MRI slices. A tri-level thresholding based on Slime-Mould-Algorithm and Shannon's-Entropy (SMA+SE) is implemented to enhance the BTS and Watershed-Segmentation (WS) is implemented to mine the BTS. After extracting the BTS, a study between the BTS and Ground-Truth image is performed and the necessary Image-Performance-Values (IPV) are computed. In this work the axial, coronal and sagittal slices of 2D breast MRI are separately examined and the attained results are presented.

Original language	English
Title of host publication	Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665441261
DOIs	https://doi.org/10.1109/ICBSII51839.2021.9445152
State	Published - 25 Mar 2021
Externally published	Yes
Event	7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021 - Chennai, India Duration: 25 Mar 2021 → 27 Mar 2021

Publication series

Name	Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021

Conference

Conference	7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021
Country/Territory	India
City	Chennai
Period	25/03/21 → 27/03/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 5 Gender Equality

Keywords

Breast MRI
Breast abnormality
Segmentation
Slime-Mould-Algorithm
Thresholding

Access to Document

10.1109/ICBSII51839.2021.9445152

Cite this

Kadry, S., Damasevicius, R., Taniar, D., Rajinikanth, V., & Lawal, I. A. (2021). Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study. In Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021 Article 9445152 (Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBSII51839.2021.9445152

Kadry, Seifedine ; Damasevicius, Robertas ; Taniar, David et al. / Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study. Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021).

@inproceedings{e2a5037694db45449185557099396424,

title = "Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study",

abstract = "Breast Cancer (BC) is one of the harsh conditions, which largely affects the women group. Due to its significance, a range of procedures are available for premature detection and early treatment to save the patient. The clinical level diagnosis of BC will be done using; (i) Image supported detection and (ii) Core-Needle-Biopsy (CNB) assisted confirmation. The proposed work aim to develop a computerized scheme to detect the Breast-Tumor-Section (BTS) from the beast MRI slices. This work implements a joint thresholding and segmentation methodology to enhance and extract the BTS from the 2D MRI slices. A tri-level thresholding based on Slime-Mould-Algorithm and Shannon's-Entropy (SMA+SE) is implemented to enhance the BTS and Watershed-Segmentation (WS) is implemented to mine the BTS. After extracting the BTS, a study between the BTS and Ground-Truth image is performed and the necessary Image-Performance-Values (IPV) are computed. In this work the axial, coronal and sagittal slices of 2D breast MRI are separately examined and the attained results are presented.",

keywords = "Breast MRI, Breast abnormality, Segmentation, Slime-Mould-Algorithm, Thresholding",

author = "Seifedine Kadry and Robertas Damasevicius and David Taniar and Venkatesan Rajinikanth and Lawal, \{Isah A.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021 ; Conference date: 25-03-2021 Through 27-03-2021",

year = "2021",

month = mar,

day = "25",

doi = "10.1109/ICBSII51839.2021.9445152",

language = "English",

series = "Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021",

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

booktitle = "Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021",

address = "United States",

}

Kadry, S, Damasevicius, R, Taniar, D, Rajinikanth, V & Lawal, IA 2021, Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study. in Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021., 9445152, Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021, Chennai, India, 25/03/21. https://doi.org/10.1109/ICBSII51839.2021.9445152

Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study. / Kadry, Seifedine; Damasevicius, Robertas; Taniar, David et al.
Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9445152 (Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021).

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

TY - GEN

T1 - Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study

AU - Kadry, Seifedine

AU - Damasevicius, Robertas

AU - Taniar, David

AU - Rajinikanth, Venkatesan

AU - Lawal, Isah A.

PY - 2021/3/25

Y1 - 2021/3/25

N2 - Breast Cancer (BC) is one of the harsh conditions, which largely affects the women group. Due to its significance, a range of procedures are available for premature detection and early treatment to save the patient. The clinical level diagnosis of BC will be done using; (i) Image supported detection and (ii) Core-Needle-Biopsy (CNB) assisted confirmation. The proposed work aim to develop a computerized scheme to detect the Breast-Tumor-Section (BTS) from the beast MRI slices. This work implements a joint thresholding and segmentation methodology to enhance and extract the BTS from the 2D MRI slices. A tri-level thresholding based on Slime-Mould-Algorithm and Shannon's-Entropy (SMA+SE) is implemented to enhance the BTS and Watershed-Segmentation (WS) is implemented to mine the BTS. After extracting the BTS, a study between the BTS and Ground-Truth image is performed and the necessary Image-Performance-Values (IPV) are computed. In this work the axial, coronal and sagittal slices of 2D breast MRI are separately examined and the attained results are presented.

AB - Breast Cancer (BC) is one of the harsh conditions, which largely affects the women group. Due to its significance, a range of procedures are available for premature detection and early treatment to save the patient. The clinical level diagnosis of BC will be done using; (i) Image supported detection and (ii) Core-Needle-Biopsy (CNB) assisted confirmation. The proposed work aim to develop a computerized scheme to detect the Breast-Tumor-Section (BTS) from the beast MRI slices. This work implements a joint thresholding and segmentation methodology to enhance and extract the BTS from the 2D MRI slices. A tri-level thresholding based on Slime-Mould-Algorithm and Shannon's-Entropy (SMA+SE) is implemented to enhance the BTS and Watershed-Segmentation (WS) is implemented to mine the BTS. After extracting the BTS, a study between the BTS and Ground-Truth image is performed and the necessary Image-Performance-Values (IPV) are computed. In this work the axial, coronal and sagittal slices of 2D breast MRI are separately examined and the attained results are presented.

KW - Breast MRI

KW - Breast abnormality

KW - Segmentation

KW - Slime-Mould-Algorithm

KW - Thresholding

UR - https://www.scopus.com/pages/publications/85107947695

U2 - 10.1109/ICBSII51839.2021.9445152

DO - 10.1109/ICBSII51839.2021.9445152

M3 - Conference contribution

AN - SCOPUS:85107947695

T3 - Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021

BT - Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021

Y2 - 25 March 2021 through 27 March 2021

ER -

Kadry S, Damasevicius R, Taniar D, Rajinikanth V, Lawal IA. Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study. In Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9445152. (Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021). doi: 10.1109/ICBSII51839.2021.9445152

Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation - A Study

Abstract

Publication series

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UN SDGs

Keywords

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