UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2105729


Registration ID:
309261

Page Number

f469-f475

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Title

Acute lymphoblast leukemia and multiple myeloma classification using neural network and multilevel Otsu thresholding

Abstract

Acute Lymphoblast leukemia and multiple Myeloma is a kind of blood cancer that affects the white blood cells. Early diagnosis is very important to prevent the progression of cancer. The main objective of this research paper is to classify the blood cancer from the microscopic image of the patient’s blood smear. Microscopic blood image analysis results in the early diagnosis of leukemia and myeloma with lower cost. It is less costly to use image for diagnosis, compare to the equipment and methods used in the field of Hematology. The aim of this study is to identify, whether the cell belong to leukemia class or myeloma class. For this 30 microscopic images from both classes is used to train the Convolution Neural Network model and Multi Otsu algorithm to extract the cell region of interest. A degree of accuracy 97.72% gives high performance of the proposed method.

Key Words

Neural network, multilevel Otsu, image processing, multiple myeloma, acute lymphoblast leukemia

Cite This Article

"Acute lymphoblast leukemia and multiple myeloma classification using neural network and multilevel Otsu thresholding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f469-f475, May-2021, Available :http://www.jetir.org/papers/JETIR2105729.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Acute lymphoblast leukemia and multiple myeloma classification using neural network and multilevel Otsu thresholding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf469-f475, May-2021, Available at : http://www.jetir.org/papers/JETIR2105729.pdf

Publication Details

Published Paper ID: JETIR2105729
Registration ID: 309261
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: f469-f475
Country: nagpur, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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