Skin cancer classification using deep learning and transfer learning

KM Hosny, MA Kassem… - 2018 9th Cairo …, 2018 - ieeexplore.ieee.org
Skin cancer, specially melanoma is one of most deadly diseases. In the color images of skin,
there is a high similarity between different skin lesion like melanoma and nevus, which …

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 …

Melanoma skin lesions classification using deep convolutional neural network with transfer learning

MK Islam, MS Ali, MM Ali, MF Haque… - … and Data Analytics …, 2021 - ieeexplore.ieee.org
Skin cancer is basically the unnatural growth of skin tissues and it can be fatal. Lately, it has
evolved into one of the most perilous types of other cancers in the human body. Premature …

[HTML][HTML] An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models

MS Ali, MS Miah, J Haque, MM Rahman… - Machine Learning with …, 2021 - Elsevier
Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that
can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is …

Skin cancer classification using image processing and machine learning

A Javaid, M Sadiq, F Akram - 2021 international Bhurban …, 2021 - ieeexplore.ieee.org
One of the most rapidly spreading cancers among various other types of cancers known to
humans is skin cancer. Melanoma is the worst and the most dangerous type of skin cancer …

[HTML][HTML] Classification of skin lesions using transfer learning and augmentation with Alex-net

KM Hosny, MA Kassem, MM Foaud - PloS one, 2019 - journals.plos.org
Skin cancer is one of most deadly diseases in humans. According to the high similarity
between melanoma and nevus lesions, physicians take much more time to investigate these …

Performance Enhancement of Skin Cancer Classification Using Computer Vision

A Magdy, H Hussein, RF Abdel-Kader… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, computer vision plays an essential role in disease detection, computer-aided
diagnosis, and patient risk identification. This is especially true for skin cancer, which can be …

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 …

Automated skin lesion classification using ensemble of deep neural networks in isic 2018: Skin lesion analysis towards melanoma detection challenge

MAA Milton - arXiv preprint arXiv:1901.10802, 2019 - arxiv.org
In this paper, we studied extensively on different deep learning based methods to detect
melanoma and skin lesion cancers. Melanoma, a form of malignant skin cancer is very …

Skin melanoma classification using ROI and data augmentation with deep convolutional neural networks

KM Hosny, MA Kassem, MM Foaud - Multimedia Tools and Applications, 2020 - Springer
Automatic classification of color images of skin helps clinicians and dermatologists in
examining and investigating skin melanoma. In this paper, a new deep convolutional neural …