[HTML][HTML] 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 developing computer-aided diagnosis …
researchers have shown an increasing interest in developing computer-aided diagnosis …
Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …
benefit, as it provides significant information about the lesion, which can be of pertinence for …
A multi-class skin Cancer classification using deep convolutional neural networks
Skin Cancer accounts for one-third of all diagnosed cancers worldwide. The prevalence of
skin cancers have been rising over the past decades. In recent years, use of dermoscopy …
skin cancers have been rising over the past decades. In recent years, use of dermoscopy …
[HTML][HTML] DSCC_Net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images
Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
Melanoma detection by analysis of clinical images using convolutional neural network
Melanoma, most threatening type of skin cancer, is on the rise. In this paper an
implementation of a deep-learning system on a computer server, equipped with graphic …
implementation of a deep-learning system on a computer server, equipped with graphic …
[HTML][HTML] Designing a grey wolf optimization based hyper-parameter optimized convolutional neural network classifier for skin cancer detection
Abstract In recent history, Convolutional Neural Networks have attained breakthroughs in
addressing many intractable problems in the domain of image processing. But its …
addressing many intractable problems in the domain of image processing. But its …
Melanoma skin cancer detection using deep learning and classical machine learning techniques: A hybrid approach
Melanoma is considered as one of the fatal cancer in the world, this form of skin cancer may
spread to other parts of the body in case that it has not been diagnosed in an early stage …
spread to other parts of the body in case that it has not been diagnosed in an early stage …
Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques
Skin diseases remain a major cause of disability worldwide and contribute approximately
1.79% of the global burden of disease measured in disability-adjusted life years. In the …
1.79% of the global burden of disease measured in disability-adjusted life years. In the …
Computer aided melanoma skin cancer detection using image processing
S Jain, N Pise - Procedia Computer Science, 2015 - Elsevier
In recent days, skin cancer is seen as one of the most Hazardous form of the Cancers found
in Humans. Skin cancer is found in various types such as Melanoma, Basal and Squamous …
in Humans. Skin cancer is found in various types such as Melanoma, Basal and Squamous …
[HTML][HTML] Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms
A Masood, A Ali Al-Jumaily - International journal of biomedical …, 2013 - hindawi.com
Image-based computer aided diagnosis systems have significant potential for screening and
early detection of malignant melanoma. We review the state of the art in these systems and …
early detection of malignant melanoma. We review the state of the art in these systems and …