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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Classifying White Blood Cells and Comparison Of Different Algorithms Using Machine Learning
Authors Name: poornima , D Nikitha , Gagana , Shilpa Rani , Spoorti Angadi
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IJRTI_186537
Published Paper Id: IJRTI2305058
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: Blood and its components have an important place in human life and are the best indicator tool in determining many pathological conditions.In particular, the classification of white blood cells is of great importance for the diagnosis of hematological diseases. In this study, hundreds of microscopic blood images were tested with 6 different machine learning algorithms for the classification of white blood cells and their performances were compared .According to the results, the Random Forest algorithm has performed better than the other methods with an average 80% test success.
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Cite Article: "Classifying White Blood Cells and Comparison Of Different Algorithms Using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.385 - 392, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305058.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2305058
Registration ID:186537
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 385 - 392
Country: Raichur, Karnatak, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305058
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305058
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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