A survey of feature extraction in dermoscopy image analysis of skin cancer
Dermoscopy image analysis (DIA) is a growing field, with works being published every
week. This makes it difficult not only to keep track of all the contributions, but also for new …
week. This makes it difficult not only to keep track of all the contributions, but also for new …
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 …
Skin lesions classification into eight classes for ISIC 2019 using deep convolutional neural network and transfer learning
MA Kassem, KM Hosny, MM Fouad - IEEE Access, 2020 - ieeexplore.ieee.org
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 …
Classification of skin lesions into seven classes using transfer learning with AlexNet
KM Hosny, MA Kassem, MM Fouad - Journal of digital imaging, 2020 - Springer
Melanoma is deadly skin cancer. There is a high similarity between different kinds of skin
lesions, which lead to incorrect classification. Accurate classification of a skin lesion in its …
lesions, which lead to incorrect classification. Accurate classification of a skin lesion in its …
A de-ann inspired skin cancer detection approach using fuzzy c-means clustering
As per recent developments in medical science, the skin cancer is considered as one of the
common type disease in human body. Although the presence of melanoma is viewed as a …
common type disease in human body. Although the presence of melanoma is viewed as a …
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 …
Skin lesion classification based on deep convolutional neural networks architectures
J Saeed, S Zeebaree - Journal of Applied Science and Technology Trends, 2021 - jastt.org
Skin cancer is among the primary cancer types that manifest due to various dermatological
disorders, which may be further classified into several types based on morphological …
disorders, which may be further classified into several types based on morphological …
[HTML][HTML] Deep learning and machine learning techniques of diagnosis dermoscopy images for early detection of skin diseases
With the increasing incidence of severe skin diseases, such as skin cancer, endoscopic
medical imaging has become urgent for revealing the internal and hidden tissues under the …
medical imaging has become urgent for revealing the internal and hidden tissues under the …
Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification
Background and objective Skin cancer is the commonest form of cancer in the worldwide
population. Non-invasive and non-contact imaging modalities are being used for the …
population. Non-invasive and non-contact imaging modalities are being used for the …
[HTML][HTML] Incorporating a novel dual transfer learning approach for medical images
Recently, transfer learning approaches appeared to reduce the need for many classified
medical images. However, these approaches still contain some limitations due to the …
medical images. However, these approaches still contain some limitations due to the …