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@article{164482,
        author = {Mamidi Gayathri  and Yegireddi Praveen  and Kusumanchi Gnaneswara Rao  and Rudrapankati Maneesha  and Dalai Mahesh},
        title = {Skin Disease Detection and Classification Using CNN Algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {864-866},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164482},
        abstract = {Dermatology's complexity makes it challenging to diagnose accurately using traditional methods. An automated image-based approach utilizing machine learning can improve diagnostic accuracy. The method involves filtering and enhancing skin photographs, extracting features with techniques like Convolutional Neural Networks (CNNs), and using algorithms like SoftMax to classify and generate diagnostic reports. This approach promises greater accuracy and faster results compared to conventional diagnostic methods in dermatology. },
        keywords = {Convolutional Neural Network, Diagnosis, Skin Diseases, Accuracy, Sensitivity, Specificity},
        month = {},
        }