MULTIPLE TYES OF SKIN LESION IDENTIFICATION AND SEGMENTATION USING NEURAL NETWORK TECHNIQUES
Keywords:
Skin Lesion Classification, Deep Learning, Neural Networks, Convolutional Neural Networks (CNN), Image SegmentationAbstract
Skin lesion identification and segmentation are critical for early detection and diagnosis of melanoma, basal cell carcinoma, squamous cell carcinoma, and other dermatological conditions. Traditional diagnostic methods rely on manual examination by dermatologists, which can be subjective and time-consuming. To overcome these limitations, deep learningbased neural networks have been widely adopted for automated skin lesion analysis.
References
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