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2021 | OriginalPaper | Chapter

Nucleus Segmentation from Microscopic Bone Marrow Image

Authors : Shilpa, Rajesh Gopakumar, Vasundhara Acharya

Published in: Progress in Advanced Computing and Intelligent Engineering

Publisher: Springer Singapore

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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.

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Literature
1.
go back to reference Kumar P, Udwadia SM (2017) Automatic detection of Acute Myeloid Leukemia from microscopic blood smear image. In: International conference on advances in computing, communications and informatics (ICACCI) Kumar P, Udwadia SM (2017) Automatic detection of Acute Myeloid Leukemia from microscopic blood smear image. In: International conference on advances in computing, communications and informatics (ICACCI)
2.
go back to reference Setiawan A, Harjoko A, Ratnaningsih T, Suryani E, Wiharto Palgunadi S (2018) Classification of cell types in Acute Myeloid Leukemia (AML) of M4, M5 and M7 subtypes with support vector machine classifier. In: 2018 international conference on information and communications technology (ICOIACT) Setiawan A, Harjoko A, Ratnaningsih T, Suryani E, Wiharto Palgunadi S (2018) Classification of cell types in Acute Myeloid Leukemia (AML) of M4, M5 and M7 subtypes with support vector machine classifier. In: 2018 international conference on information and communications technology (ICOIACT)
3.
go back to reference Marzuki NIC, Mahmood NH, Azhar M, Razak A (2015) Segmentation of white blood cell nucleus using active contour. J Teknologi Marzuki NIC, Mahmood NH, Azhar M, Razak A (2015) Segmentation of white blood cell nucleus using active contour. J Teknologi
4.
go back to reference Mohapatra S, Patra D, Satpathy S (2014) An ensemble classifier system for early diagnosis of acute lymphoblastic Leukemia in blood microscopic images. Neural Comput Appl Mohapatra S, Patra D, Satpathy S (2014) An ensemble classifier system for early diagnosis of acute lymphoblastic Leukemia in blood microscopic images. Neural Comput Appl
5.
go back to reference Sarrafzadeh O, Dehnavi AM (2015) Nucleus and cytoplasm segmentation in microscopic images using K-means clustering and region growing. Adv Biomed Res Sarrafzadeh O, Dehnavi AM (2015) Nucleus and cytoplasm segmentation in microscopic images using K-means clustering and region growing. Adv Biomed Res
6.
go back to reference Sadeghian F, Seman Z, Ramli AR, Kahar BHA, Saripan M (2009) A framework for white blood cell segmentation in microscopic blood images using digital image processing. Biol Procedures Online Sadeghian F, Seman Z, Ramli AR, Kahar BHA, Saripan M (2009) A framework for white blood cell segmentation in microscopic blood images using digital image processing. Biol Procedures Online
7.
go back to reference AL-Dulaimi K, Tomeo-Reyes I, Banks J, ChandranV (2016) White blood cell nuclei segmentation using level set methods and geometric active contours. Ministry of Higher Education and Scientific Research. Iraq AL-Dulaimi K, Tomeo-Reyes I, Banks J, ChandranV (2016) White blood cell nuclei segmentation using level set methods and geometric active contours. Ministry of Higher Education and Scientific Research. Iraq
8.
go back to reference Gómez O, González JA, Morales EF (2007) Image segmentation using automatic seeded region growing and instance-based learning. LNCS Gómez O, González JA, Morales EF (2007) Image segmentation using automatic seeded region growing and instance-based learning. LNCS
9.
go back to reference Madhukar M, Agaian S, Chronopoulos AT (2012) Deterministic model for acute myelogenous Leukemia classification. In: IEEE international conference on systems, man, and cybernetics (SMC) Madhukar M, Agaian S, Chronopoulos AT (2012) Deterministic model for acute myelogenous Leukemia classification. In: IEEE international conference on systems, man, and cybernetics (SMC)
10.
go back to reference Sen NB, MathewM (2016) Automated AML detection from complete blood smear image using KNN classifier. Int J Adv Res Electr Electron Instrum Eng Sen NB, MathewM (2016) Automated AML detection from complete blood smear image using KNN classifier. Int J Adv Res Electr Electron Instrum Eng
11.
go back to reference Mulik V, Alhat S, Bhilare P, Bhoge V (2016) Analysis of acute lymphoblastic Leukemia cells using digital image processing. Int J Sci Res Dev Mulik V, Alhat S, Bhilare P, Bhoge V (2016) Analysis of acute lymphoblastic Leukemia cells using digital image processing. Int J Sci Res Dev
12.
go back to reference Savkare SS, Narote SP (2015) Blood cell segmentation from microscopic blood images. In: International conference on information processing Savkare SS, Narote SP (2015) Blood cell segmentation from microscopic blood images. In: International conference on information processing
13.
go back to reference Chan TF, Vese LA (2001) Active contours without edges. IEEE Trans Image Process 10(2) Chan TF, Vese LA (2001) Active contours without edges. IEEE Trans Image Process 10(2)
14.
go back to reference Fatma M, Sharma J (2014) A survey on image segmentation techniques used in Leukemia detection 4(5):66–71 Fatma M, Sharma J (2014) A survey on image segmentation techniques used in Leukemia detection 4(5):66–71
Metadata
Title
Nucleus Segmentation from Microscopic Bone Marrow Image
Authors
Shilpa
Rajesh Gopakumar
Vasundhara Acharya
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-6584-7_5