… of skin lesions with the sample size of 10015. The methods in this paper included training the
… 88% and used transfer learning methods like the Resnet model. An application of machine …

… decade on skin cancer classification using ML and DL techniques with the aim of providing
an overview of the problem and possible solutions to those who wish to approach this very …

… skin lesion classification method is proposed. In this method, a pre-trained deep learning …
(DCNN) is applied to classify the color images of skin cancer into three types: Melanoma, …

… , Basal cell carcinoma and Squamous cell carcinoma. This project is about detection and
classification of various types of skin cancer using machine learning and image processing …

… In this paper, a method for skin lesion classification and … using image processing and
machine learning. A novel … method of skin cancer classification using machine learning …

… Our goal is to develop a skin cancer detection system that can be easily used by … the skin
lesion is cancers. Therefore, in this study, we developed a neural network-based classification …

… of the use of deep learning methods in skin cancer classification. We begin by introducing
… in skin cancer classification, then review the frontier challenges in skin cancer classification …

… As a result, evidential automatic recognition of skin cancer is valuable to build up the … deep
learning approach for the accurate classification between benign and malignant skin lesions. …

… In this study, a method was proposed based on the stacking of classifiers with three folds …
classification of malignant and benign skin cancer based on the hybrid method of deep learning…

… skin cancer. Significant progress has been made in developing automated tools for the
diagnosis of skin cancer … transfer learning nets for multi-class skin cancer classification by taking …