Nucleus Segmentation from Microscopic Bone Marrow Image

Shilpa; Rajesh Gopakumar; Vasundhara Acharya

doi:10.1007/978-981-15-6584-7_5

Nucleus Segmentation from Microscopic Bone Marrow Image

Shilpa
, Rajesh Gopakumar^*
, Vasundhara Acharya

^*Corresponding author for this work

School of Computer Engineering

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

Abstract

Acute myeloid leukemia (AML) is a type of cancer that originates in the bone marrow and moves into the blood quickly. The disease progresses rapidly if not treated. Therefore identification of the disease at an early stage is very important. In the proposed work, different image segmentation techniques like K-medoids and watershed, region growing and active contour have been applied for the segmentation of the nucleus from the blast cells and the results are analyzed.

Original language	English
Title of host publication	Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019
Editors	Chhabi Rani Panigrahi, Bibudhendu Pati, Prasant Mohapatra, Rajkumar Buyya, Kuan-Ching Li
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	44-50
Number of pages	7
ISBN (Print)	9789811565830
DOIs	https://doi.org/10.1007/978-981-15-6584-7_5
Publication status	Published - 2021
Event	4th International Conference on Advanced Computing and Intelligent Engineering, ICACIE 2019 - Bhubaneswar, India Duration: 21-12-2019 → 23-12-2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1198
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	4th International Conference on Advanced Computing and Intelligent Engineering, ICACIE 2019
Country/Territory	India
City	Bhubaneswar
Period	21-12-19 → 23-12-19

UN SDGs

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

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-15-6584-7_5

Cite this

Shilpa, Gopakumar, R., & Acharya, V. (2021). Nucleus Segmentation from Microscopic Bone Marrow Image. In C. R. Panigrahi, B. Pati, P. Mohapatra, R. Buyya, & K.-C. Li (Eds.), Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019 (pp. 44-50). (Advances in Intelligent Systems and Computing; Vol. 1198). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-6584-7_5

Shilpa, ; Gopakumar, Rajesh ; Acharya, Vasundhara. / Nucleus Segmentation from Microscopic Bone Marrow Image. Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019. editor / Chhabi Rani Panigrahi ; Bibudhendu Pati ; Prasant Mohapatra ; Rajkumar Buyya ; Kuan-Ching Li. Springer Science and Business Media Deutschland GmbH, 2021. pp. 44-50 (Advances in Intelligent Systems and Computing).

@inproceedings{cdc7c0f9ffc349b889852226c89c0058,

title = "Nucleus Segmentation from Microscopic Bone Marrow Image",

abstract = "Acute myeloid leukemia (AML) is a type of cancer that originates in the bone marrow and moves into the blood quickly. The disease progresses rapidly if not treated. Therefore identification of the disease at an early stage is very important. In the proposed work, different image segmentation techniques like K-medoids and watershed, region growing and active contour have been applied for the segmentation of the nucleus from the blast cells and the results are analyzed.",

author = "Shilpa and Rajesh Gopakumar and Vasundhara Acharya",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 4th International Conference on Advanced Computing and Intelligent Engineering, ICACIE 2019 ; Conference date: 21-12-2019 Through 23-12-2019",

year = "2021",

doi = "10.1007/978-981-15-6584-7\_5",

language = "English",

isbn = "9789811565830",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "44--50",

editor = "Panigrahi, \{Chhabi Rani\} and Bibudhendu Pati and Prasant Mohapatra and Rajkumar Buyya and Kuan-Ching Li",

booktitle = "Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019",

address = "Germany",

}

Shilpa, , Gopakumar, R & Acharya, V 2021, Nucleus Segmentation from Microscopic Bone Marrow Image. in CR Panigrahi, B Pati, P Mohapatra, R Buyya & K-C Li (eds), Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019. Advances in Intelligent Systems and Computing, vol. 1198, Springer Science and Business Media Deutschland GmbH, pp. 44-50, 4th International Conference on Advanced Computing and Intelligent Engineering, ICACIE 2019, Bhubaneswar, India, 21-12-19. https://doi.org/10.1007/978-981-15-6584-7_5

Nucleus Segmentation from Microscopic Bone Marrow Image. / Shilpa, ; Gopakumar, Rajesh; Acharya, Vasundhara.
Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019. ed. / Chhabi Rani Panigrahi; Bibudhendu Pati; Prasant Mohapatra; Rajkumar Buyya; Kuan-Ching Li. Springer Science and Business Media Deutschland GmbH, 2021. p. 44-50 (Advances in Intelligent Systems and Computing; Vol. 1198).

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

TY - GEN

T1 - Nucleus Segmentation from Microscopic Bone Marrow Image

AU - Shilpa,

AU - Gopakumar, Rajesh

AU - Acharya, Vasundhara

PY - 2021

Y1 - 2021

N2 - Acute myeloid leukemia (AML) is a type of cancer that originates in the bone marrow and moves into the blood quickly. The disease progresses rapidly if not treated. Therefore identification of the disease at an early stage is very important. In the proposed work, different image segmentation techniques like K-medoids and watershed, region growing and active contour have been applied for the segmentation of the nucleus from the blast cells and the results are analyzed.

AB - Acute myeloid leukemia (AML) is a type of cancer that originates in the bone marrow and moves into the blood quickly. The disease progresses rapidly if not treated. Therefore identification of the disease at an early stage is very important. In the proposed work, different image segmentation techniques like K-medoids and watershed, region growing and active contour have been applied for the segmentation of the nucleus from the blast cells and the results are analyzed.

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UR - https://www.scopus.com/pages/publications/85097080644#tab=citedBy

U2 - 10.1007/978-981-15-6584-7_5

DO - 10.1007/978-981-15-6584-7_5

M3 - Conference contribution

AN - SCOPUS:85097080644

SN - 9789811565830

T3 - Advances in Intelligent Systems and Computing

SP - 44

EP - 50

BT - Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019

A2 - Panigrahi, Chhabi Rani

A2 - Pati, Bibudhendu

A2 - Mohapatra, Prasant

A2 - Buyya, Rajkumar

A2 - Li, Kuan-Ching

PB - Springer Science and Business Media Deutschland GmbH

T2 - 4th International Conference on Advanced Computing and Intelligent Engineering, ICACIE 2019

Y2 - 21 December 2019 through 23 December 2019

ER -

Shilpa , Gopakumar R, Acharya V. Nucleus Segmentation from Microscopic Bone Marrow Image. In Panigrahi CR, Pati B, Mohapatra P, Buyya R, Li KC, editors, Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019. Springer Science and Business Media Deutschland GmbH. 2021. p. 44-50. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-15-6584-7_5

Nucleus Segmentation from Microscopic Bone Marrow Image

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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