Comparative Study of Detection and Classification of Leukemia Using Image Processing and ML

Comparative Study of Detection and Classification of Leukemia Using Image Processing and ML

Registration ID: IJNRD_183291

Published ID: IJNRD2209207

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Jyoti D. Shendage , Dr. Janardan A. Pawar , Dhanashri S. Kulkarni

Comparative Study of Detection and Classification of Leukemia Using Image Processing and ML

Blood is essential component in human life and is best indicator tool for determining many pathological conditions. Classification of blood cells is of great prominence for the diagnosis of haematological diseases. Hematological disorders of leukocytes (white Blood Corpuscles) are very frequent in medical practices. Every year, the number of new cases of leukemia increased with a high rate which causes delay in diagnosis and treatment of leukemia. Leukemia is a malignant blood growth that affects leukocytes. Acute leukemia can be either acute lymphocytic leukemia (ALL) or acute myeloid leukemia (AML). In case of ALL, a gathering of leukocytes called lymphocytes. It is a rapidly-progressive blood-cancer. It destroys the immune system. Hence, it leads to death if untreated in right-time. Due to Modernization Automated Systems are developed which helps in healthcare practices for assessment and treatment. Leukemia is a form of cancer that can be fatal disease, and to rehabilitate and treat it requires a correct and early diagnosis. Advanced methods can be used to help patients detect disorders. The Blood act as the main circulating agent for hormones, enzymes, and vitamins. Cells present in blood are White blood cells (Leukocytes), red blood Cells (Erythrocytes) and Platelets (Thrombocytes). In this paper we are reviewing different techniques which are used by researchers for detection and classification of leukemia using Image processing and ML with their results.

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"Comparative Study of Detection and Classification of Leukemia Using Image Processing and ML", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 9, page no.1741-1744, September-2022, Available :https://ijnrd.org/papers/IJNRD2209207.pdf

Volume 7 Issue 9, September-2022

Pages : 1741-1744

Paper Reg. ID: IJNRD_183291

Published Paper Id: IJNRD2209207

Downloads: 000121185

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2209207.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2209207

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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