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Chapter and Conference Paper
Attention Mechanism-Enhanced Deep CNN Architecture for Precise Multi-class Leukemia Classification
Leukemia is a life-threatening condition affecting people globally, making accurate diagnosis crucial for timely intervention. Consequently, researchers have been exploring automated methods to enable prompt a...
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Chapter and Conference Paper
Multi-class Brain Tumor Classification with DenseNet-Based Deep Learning Features and Ensemble of Machine Learning Approaches
The timely and precise diagnosis of brain tumors is crucial in reducing mortality rates. Although Magnetic Resonance Imaging (MRI) is commonly used as a detection tool for brain tumors, the presence of unwante...