Acute Lymphoblastic Leukemia Classification using Compact Channel Specific Multi-column CNNs
Rangan Satpathi, Sukrit Das, Mousumi Laha, Swarnendu Ghosh · 2023
This paper presents a novel approach for the detection and classification of acute leukemia from lymphoblastic cell images. It introduces a compact multi- column Convolution Neural Network model that to efficiently distinguish leukemic cells from healthy ones. The proposed model achieves an accuracy of 97.5% with only one-fifth the amount of parameters as that of the state-of-the-art. This research holds significant potential for advancing accurate medical image-based diagnosis, enhancing leukemia detection and screening.