Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Automatic Detection of White Blood Cancer from Bone Marrow Microscopic Images

Authors
V. Narasimha1, *, B. Shyam Sunder Rao1, P. Sonia1, M. Kavya1
1Computer Science and Engineering, CMR College of Engineering and Technology, Hyderabad, TS, 501401, India
*Corresponding author. Email: chinna.narasimha63@gmail.com
Corresponding Author
V. Narasimha
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_34How to use a DOI?
Keywords
Leukemia Detection; Bone Marrow Microscopic Images; Acute Lymphoblastic Leukemia (ALL); Feature Selection; Multiple Myeloma (MM) and Lymphoma
Abstract

The automatic detection of white blood cancer is carried out by examining bone marrow microscopic images, which is an important development in the medical profession. For the purpose of accurately recognizing and categorizing leukemic cells, we suggest a method for using convolutional neural networks. Using the CBC dataset, the proposed study offers a reliable method for detecting the white blood cancer. The model first pre-processes the photos and extracts the best characteristics after being trained on cell images. For the purpose of accurately recognizing and categorizing leukemic cells, we suggest a method for using convolutional neural networks. Our approach makes use of CNNs’ strong extraction capabilities, which is why our system proved to be highly successful in differentiating between healthy and cancerous cells in bone marrow samples. A large, extensive dataset of labelled microscopic pictures will be used to train and validate the suggested system.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_34How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - V. Narasimha
AU  - B. Shyam Sunder Rao
AU  - P. Sonia
AU  - M. Kavya
PY  - 2025
DA  - 2025/11/04
TI  - Automatic Detection of White Blood Cancer from Bone Marrow Microscopic Images
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 387
EP  - 393
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_34
DO  - 10.2991/978-94-6463-858-5_34
ID  - Narasimha2025
ER  -