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 …
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 …
Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering
Objective Melanoma is a dangerous form of the skin cancer responsible for thousands of
deaths every year. Early detection of melanoma is possible through visual inspection of …
deaths every year. Early detection of melanoma is possible through visual inspection of …
Diagnosis of skin cancer using machine learning techniques
A Murugan, SAH Nair, AAP Preethi… - Microprocessors and …, 2021 - Elsevier
Generally, skin disease is a common one in human diseases. In computer vision application,
the skin color is the powerful indication for this disease. This system identifies the skin …
the skin color is the powerful indication for this disease. This system identifies the skin …
Computational methods for pigmented skin lesion classification in images: review and future trends
RB Oliveira, JP Papa, AS Pereira… - Neural Computing and …, 2018 - Springer
Skin cancer is considered as one of the most common types of cancer in several countries,
and its incidence rate has increased in recent years. Melanoma cases have caused an …
and its incidence rate has increased in recent years. Melanoma cases have caused an …
A comparative study of features selection for skin lesion detection from dermoscopic images
Melanoma is rare and mainly considered as the dangerous category of skin cancer. Many
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
An expert system for selecting wart treatment method
As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV)
and may grow on all parts of body, especially hands and feet. There are several treatment …
and may grow on all parts of body, especially hands and feet. There are several treatment …
Social group optimization supported segmentation and evaluation of skin melanoma images
The segmentation of medical images by computational methods has been claimed by the
medical community, which has promoted the development of several algorithms regarding …
medical community, which has promoted the development of several algorithms regarding …
A novel vision transformer model for skin cancer classification
Skin cancer can be fatal if it is found to be malignant. Modern diagnosis of skin cancer
heavily relies on visual inspection through clinical screening, dermoscopy, or …
heavily relies on visual inspection through clinical screening, dermoscopy, or …