Skin cancer disease detection using transfer learning technique

J Rashid, M Ishfaq, G Ali, MR Saeed, M Hussain… - Applied Sciences, 2022 - mdpi.com
Melanoma is a fatal type of skin cancer; the fury spread results in a high fatality rate when
the malignancy is not treated at an initial stage. The patients' lives can be saved by …

Classification of skin cancer dermoscopy images using transfer learning

H Younis, MH Bhatti, M Azeem - 2019 15th International …, 2019 - ieeexplore.ieee.org
Cancer is the second death causing disease in the world. Skin cancer is a major type of
cancer and increasing speedily over the past decades. The major causes of skin cancer are …

Deep learning-based transfer learning for classification of skin cancer

S Jain, U Singhania, B Tripathy, EA Nasr, MK Aboudaif… - Sensors, 2021 - mdpi.com
One of the major health concerns for human society is skin cancer. When the pigments
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …

Automatic skin lesion segmentation and melanoma detection: Transfer learning approach with u-net and dcnn-svm

ZA Nazi, TA Abir - Proceedings of International Joint Conference on …, 2020 - Springer
Industrial pollution resulting in ozone layer depletion has influenced increased UV radiation
in recent years which is a major environmental risk factor for invasive skin cancer …

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 …

Diagnosing melanomas in Dermoscopy images using deep learning

G Alwakid, W Gouda, M Humayun, NZ Jhanjhi - Diagnostics, 2023 - mdpi.com
When it comes to skin tumors and cancers, melanoma ranks among the most prevalent and
deadly. With the advancement of deep learning and computer vision, it is now possible to …

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

DA Rodrigues, RF Ivo, SC Satapathy, S Wang… - Pattern Recognition …, 2020 - Elsevier
Melanoma skin cancer is one of the most common diseases in the world. It is essential to
diagnose melanoma at an early stage. Visual inspection during the medical examination of …

Automatic classification of melanoma skin cancer with deep convolutional neural networks

K Aljohani, T Turki - Ai, 2022 - mdpi.com
Melanoma skin cancer is one of the most dangerous types of skin cancer, which, if not
diagnosed early, may lead to death. Therefore, an accurate diagnosis is needed to detect …

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 …

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 …