Skin Disease Prediction Using CNN Deep learning || Django
Contact: 9640257292
Email: [email protected]
ABSTRACT: Skin disease among humans has been a common disease, millions of people are suffering from various kinds of
skin diseases. Usually, these diseases have hidden dangers which lead to not only lack of self-confidence and
psychological depression but also lead to a risk of skin cancer. Medical experts and high-level instruments are
needed to diagnosis these skin diseases due to non-availability of visual resolution in skin disease images. The
proposed framework includes deep learning techniques such as CNN architecture. A Dataset of images with TWENTY diseases has been taken for the
Classification of Skin diseases. They include diseases like Melanoma, Nevus, Seborrheic Keratosis etc. The
dataset was extended by adding images having cuts and burns, which were classified as skin disease by most of
the existing systems. The usage of Deep Learning algorithms has reduced the need for human labor, such as
manual feature extraction and data reconstruction for classification purposes.