Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in develo** computer-aided diagnosis …
researchers have shown an increasing interest in develo** computer-aided diagnosis …
Multi-features extraction based on deep learning for skin lesion classification
For various forms of skin lesion, many different feature extraction methods have been
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework
Malignant melanoma is considered to be one of the deadliest types of skin cancers which is
responsible for the massive number of deaths worldwide. According to the American Cancer …
responsible for the massive number of deaths worldwide. According to the American Cancer …
Skin lesions classification into eight classes for ISIC 2019 using deep convolutional neural network and transfer learning
Melanoma is a type of skin cancer with a high mortality rate. The different types of skin
lesions result in an inaccurate diagnosis due to their high similarity. Accurate classification of …
lesions result in an inaccurate diagnosis due to their high similarity. Accurate classification of …
Melanoma classification using a novel deep convolutional neural network with dermoscopic images
Automatic melanoma detection from dermoscopic skin samples is a very challenging task.
However, using a deep learning approach as a machine vision tool can overcome some …
However, using a deep learning approach as a machine vision tool can overcome some …
Skin cancer diagnosis based on deep transfer learning and sparrow search algorithm
Skin cancer affects the lives of millions of people every year, as it is considered the most
popular form of cancer. In the USA alone, approximately three and a half million people are …
popular form of cancer. In the USA alone, approximately three and a half million people are …
AI-powered diagnosis of skin cancer: a contemporary review, open challenges and future research directions
Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …
learning and machine learning techniques used for diagnosing skin cancer. While …
Wavelet transform based deep residual neural network and ReLU based Extreme Learning Machine for skin lesion classification
Skin cancer is one of the most widespread threats to human health worldwide. Therefore,
early-stage recognition and detection of these diseases are crucial for patients' lives …
early-stage recognition and detection of these diseases are crucial for patients' lives …
SCDNet: a deep learning-based framework for the multiclassification of skin cancer using dermoscopy images
Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival.
Deep learning algorithms for skin cancer detection have become popular in recent years. A …
Deep learning algorithms for skin cancer detection have become popular in recent years. A …
Automatic malignant and benign skin cancer classification using a hybrid deep learning approach
Skin cancer is one of the major types of cancer with an increasing incidence in recent
decades. The source of skin cancer arises in various dermatologic disorders. Skin cancer is …
decades. The source of skin cancer arises in various dermatologic disorders. Skin cancer is …