SKIN CANCER DETECTION USING DEEP LEARNING ALGORITHMS
G . Punith Chowdary, Dept of pharmaceutics, Birla Institute of Technology, Mesra
DOI : https://doi.org/10.63712/bpsrj-v1i4p002
ABSTRACT:
Skin cancer remains one of the most prevalent and potentially life-threatening diseases worldwide. Early and accurate identification of malignant lesions is essential for improving treatment success rates and reducing mortality. Recent advancements in computer-aided diagnosis (CAD) systems, particularly those based on deep learning, offer promising pathways for automated and reliable skin cancer detection.