International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Machine Learning in Detection and Classification of Leukemia Using Smear Blood Images |
|---|---|
| ABSTRACT | Traditional detection methods are time-intensive, laborious, and depend on skilled manual examination of bone marrow or peripheral blood smears. However, research in automated leukemia detection has significantly advanced with the development of sophisticated image processing techniques using Machine Learning (ML) and Deep Learning (DL) approaches. This literature review analyzes recent studies on automated leukemia detection, utilizing various specimens such as gene expression data, images of bone marrow, and peripheral blood smears. It also provides a list of public repositories offering access to these datasets. This article reviews studies on the automatic detection of leukemia using Peripheral Blood Smear (PBS), Bone Marrow (BM), and gene expression data, and finds that most studies achieve over 90 % accuracy, showcasing the effectiveness of Artificial Intelligence-based techniques. Machine Learning (ML) algorithms, by integrating a comprehensive range of morphological features, offer precise and effective disease diagnosis. |
| TITLE | |
| AUTHOR | GOWTHAM M, DAYANAND TC, INBARASAN S, RAJA MONSING R Department of Artificial Intelligence and Data Science, Christ The King Engineering College Karamadai, Coimbatore, Tamil Nadu, India. Department of Artificial Intelligence and Data Science, Christ The King Engineering College Karamadai, Coimbatore, Tamil Nadu, India. |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405020 |
| pdf/20_Machine Learning in Detection and Classification of Leukemia Using Smear.pdf | |
| KEYWORDS | |
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