• Ammulya Ambasth
• Shreya Phule
• Harshala Walgude
• Ms. N. A. Mulla

One of the very well-known type of blood cell cancer is leukemia. Leukemia begins with bone marrow and leads to death if not treated early. The disease is divided into two main categories (AML and ALL) and each category consists of similar symptoms which differ slightly from each other that may confuse in diagnosing. Our project will be used for detection of leukemia. To detect leukemia many algorithms are used. In this project, detection is done using Random Forest classifier and feature extraction is done using Convolutional Neural Network (CNN).

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"DETECTION OF LEUKEMIA USING RANDOM FOREST CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.582-587, May-2019, Available :http://www.jetir.org/papers/JETIR1905285.pdf

"DETECTION OF LEUKEMIA USING RANDOM FOREST CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp582-587, May-2019, Available at : http://www.jetir.org/papers/JETIR1905285.pdf