… The intention of this study is to provide the accurate diagnosing method for melanoma skin
cancer to classify easily whether the input image is benign melanoma or malignant Melanoma…

… , a deep learning driven novel model is developed that aims early diagnosis of skin diseases…
Design of Novel System: A deep learning based novel system is designed for diagnosis of 6 …

… and thus the study of the skin cancer images using the latest … classification of skin cancer
images that consists of two steps and which is based on transfer learning and deep learning…

… for skin cancer classification from the International Skin Imaging … Hence, a deep learning
model could learn to associate a … a standard classification model for diagnosing skin cancer …

… Roffman et al [33] and Wang et al [34] presented reasonably accurate skin cancer
predictions using deep learning methods based exclusively on patient nonimage information. …

… Convolutional Neural Network (CNN) is one of deep learning’s methods that has … classify
melanoma cancer through the images from the dermoscopy examination with Deep Learning …

… train a deep-learning architecture to perform a hierarchical diagnosis. Our results highlight
the benefits of addressing the classification of … of diagnostic systems based on deep learning. …

… We firmly believe that the integration of machine learning-based analytic tools in
radiology practice will occur. However, we also believe that this does not equate to replacing …

… in detecting skin cancers. In recent years, many works have been done with Deep Learning
… ) based approach that can classify four different types of Skin Cancer. We have developed …

… MAJOR RESEARCH CONTRIBUTIONS This research focuses on the diagnose of skin
lesions and skin cancer classification via deep learners and Generative AI by employing latest …