View Article

  • A Step Toward the Future: Using Machine Learning to Detect Leukemia

  • Chandigarh University, Gharuan, Punjab

Abstract

Leukemia is a cancer of the bone marrow, a spongy tissue that secretes into the bones and serves as the site for the production of blood cells. One of the most prevalent kinds of leukemia in adults is acute myeloid leukemia (AML). Leukemia has non-specific signs and symptoms that are also similar to those of other interpersonal illnesses. The only way to accurately diagnose leukemia is by manually examining a stained blood smear or bone marrow aspirate under the microscope. However, this approach takes more time and is less precise. This paper describes a method for the automatic recognition and classification of AML in blood smears. Classification techniques include decision trees, logistic regression, support vector machines, and naive bayes.

Keywords

automatic leukemia detection, acute lymphoblastic leukemia, lymphocyte image segmentation, machine learning

Reference

  1. Cristianini, N., and J. Shawe-Taylor. “An Introduction to support vector machines and other kernel-based learning methods” New York: Cambridge University Press, 2000. 
  2. Vapnik, V. N. “The Ature of Statistical Learning Theory” New York: Springer, 1995. 
  3. A. Madabhushi, “Digital pathology image analysis: opportunities and challenges,” Imaging in Medicine, vol. 1, no. 1, pp. 7– 10, 2009. 
  4. A. N. Esgiar, R. N. G. Naguib, B. S. Sharif, M. K. Bennett, and A. Murray, “Fractal analysis in the detection of colonic cancer images,” IEEE Transactions on Information Technology in Biomedicine, vol. 6, no. 1, pp. 54–58, 2002. 
  5. L. Yang, O. Tuzel, P. Meer, and D. J. Foran, “Automatic image analysis of histopathology specimens using concave vertex graph,” in Medical Image Computing and Computer-Assisted Intervention—MICCAI 2008, pp. 833– 841, Springer, Berlin, Germany, 2008. 
  6. R. C. Gonzalez, Digital Image Processing, Pearson Education India, 2009.
  7. S. Liao, M. W. K. Law, and A. C. S. Chung, “Dominant local binary patterns for texture classification,” IEEE Transactions on Image Processing, vol. 18, no. 5, pp. 1107–1118, 2009. 
  8. J. C. Caicedo, A. Cruz, and F. A. Gonzalez, “Histopathology image classification using a bag of features and kernel functions,” in Artificial Intelligence in Medicine, vol. 5651 of Lecture Notes in Computer Science, pp. 126–135, Springer, Berlin, Germany, 2009. 
  9. H. S. Wu, J. Barba, and J. Gil, “Iterative thresholding for segmentation of cells from noisy images” Journal of Microscopy, vol.197, no. 3, pp. 296–304, 2000.

Photo
Nakul Magotra
Corresponding author

Chandigarh University, Gharuan, Punjab

Nakul Magotra, A Step Toward the Future: Using Machine Learning to Detect Leukemia, Int. J. in Pharm. Sci., 2023, Vol 1, Issue 7, 317-325. https://doi.org/10.5281/zenodo.8187907

More related articles
Swallowable Electronics: A Review on Digital Pills...
Satyajit Sahoo, Sarankhawala Aadil S., Archana Kaushik, Sapna Des...
Chrysin in Psoriasis: Mechanistic Insights, Therap...
Fasna Nargees N H, Gopikrishna S Pai, Krishnapriya E K, Nimmi Tha...
The Enzyme-Linked Immunosorbent Assay (ELISA) in Periodontal Diagnostics: Princi...
Iswarya T, Mano Gayathri S, Arunmozhi U, Jenifer Cynthia R A...
Formulation and Evaluation of a Mucoadhesive Buccal Film Containing Hydroalcohol...
Gayatri Parmar, Dr. Nilofar Khan, Dr. Mohan Kale, Shivam Rajak, Sayali Patil, Kajal Patil, Viraj Lok...
Advances in Nanoemulgel-Based Topical Antifungal Systems for the Treatment of De...
Navya N, Tejashree K C, Pallavi A, Bhuvana, Beny Baby ...
Related Articles
Effects of drugs on lactating mother:Drug transfer into breast milk,maternal eff...
Revu Devika, Dr. B.Thangabalan, Nallala. K.V.S.Abhishek kumar, Veeranki.Harshitha, Dr.Y.Sirisha...
Dendrosomes as Emerging Multifunctional Nanocarriers for Targeted Drug Delivery:...
Vivek Gautam, Pritam Kushwaha, Ayush Agrawal , Kajal Mishra ...
More related articles
Swallowable Electronics: A Review on Digital Pills from Adherence to Diagnostic...
Satyajit Sahoo, Sarankhawala Aadil S., Archana Kaushik, Sapna Desai, Rashmi Rajeghorpade...
Chrysin in Psoriasis: Mechanistic Insights, Therapeutic Potential, and Topical D...
Fasna Nargees N H, Gopikrishna S Pai, Krishnapriya E K, Nimmi Thankam Biju, Santy Rose P...
Swallowable Electronics: A Review on Digital Pills from Adherence to Diagnostic...
Satyajit Sahoo, Sarankhawala Aadil S., Archana Kaushik, Sapna Desai, Rashmi Rajeghorpade...
Chrysin in Psoriasis: Mechanistic Insights, Therapeutic Potential, and Topical D...
Fasna Nargees N H, Gopikrishna S Pai, Krishnapriya E K, Nimmi Thankam Biju, Santy Rose P...