Deep Learning-Based Automated Leukemia Detection from Blood Smear Images: A Comparative Study of MobileNetV2, ResNet50, and Custom CNN
Authors:
R. Madhava Reddy , N. Harini, P. Shiva Charan, P. Sanjana, y. Sunil reddy
Page No: 143-152
Abstract:
Leukemia, a form of blood cancer characterized by the uncontrolled proliferation of abnormal white blood cells, requires early and accurate diagnosis to improve treatment outcomes. Conventional diagnosis through manual examination of microscopic blood smear images is time-consuming and highly dependent on the expertise of pathologists, which may lead to inconsistencies and limited accessibility in resource-constrained settings.
Description:
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Volume & Issue
Volume-15,Issue-4
Keywords
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