AI-Powered Classification of Bone Marrow Cancer: A Deep Learning Approach for Leukemia and Myeloma Diagnosis
P. Sravanthi, Shaik Jahirunnisa, Adarsh Naik S, K N V Khasim, B. Rajasekar · 2025
The Bone Marrow Cancer Classification system is an Artificial Intelligence powered platform designed to help users to classify the blood cancer reports. This cancer generally originates in the stem cells of the bone marrow. It is primarily classified into Leukemia and Myeloma. Diagnosing these conditions requires morphological examination by trained human examiners, making the process tedious and time-consuming. The project aims to provide an in-depth analysis for the examination of blood cells, with a significant focus on classifying leukemia and myeloma cells in blood smears. The project primarily uses Convolutional Neural Networks employed to classify the blood cell images for that purpose Residual Network (ResNet) and AlexNet architecture are used, the work of the Project involves several key steps, including data Augmentation and Pre-processing, Dataset division, Model training and Ensemble the results of both Architectures to improve the overall accuracy of the model.