Deep learning in skin lesion analysis for malignant melanoma cancer identification

MS Sivakumar, LM Leo, T Gurumekala… - Multimedia Tools and …, 2024 - Springer
The higher rate of skin diseases caused by infections, allergies, lifestyle changes, increased
use of chemicals, unhealthy food habits, and hereditary reactions, among other factors …

Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art

A Adegun, S Viriri - Artificial Intelligence Review, 2021 - Springer
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …

Automated deep learning approach for classification of malignant melanoma and benign skin lesions

W Salma, AS Eltrass - Multimedia Tools and Applications, 2022 - Springer
Skin cancer becomes a significant health problem worldwide with an increasing incidence
over the past decades. Due to the fine-grained differences in the appearance of skin lesions …

[PDF][PDF] Skin lesion analysis toward melanoma detection using deep learning techniques

F Sherif, WA Mohamed, AS Mohra - International Journal of …, 2019 - bibliotekanauki.pl
In the last few years, a great attention was paid to the deep learning Techniques used for
image analysis because of their ability to use machine learning techniques to transform …

Skin lesion classification using convolutional neural network for melanoma recognition

A Dutta, M Kamrul Hasan, M Ahmad - Proceedings of International Joint …, 2021 - Springer
Skin cancer, also known as melanoma, is generally diagnosed visually from the
dermoscopic images, which is a tedious and time-consuming task for the dermatologist …

Skin lesion analysis towards melanoma detection using optimized deep learning network

ST Sukanya, S Jerine - Multimedia Tools and Applications, 2023 - Springer
The deadliest form of skin lesion is known as melanoma. Detection of melanoma at earlier
stages significantly raises the rate of survival. Nevertheless, the precise detection of …

Skin cancer detection using ensemble learning and grouping of deep models

T Guergueb, MA Akhloufi - … of the 19th International Conference on …, 2022 - dl.acm.org
Melanoma remains the most dangerous form of skin cancer which has a high mortality rate.
When detect early, melanoma can be easily cured and millions of lives might be saved. The …

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 …

Skin lesions classification using deep learning techniques

OS Kareem, AM Abdulazee… - Asian Journal of …, 2021 - archive.sdpublishers.com
Skin cancer is a significant health problem. More than 123,000 new cases per year are
recorded. Melanoma is the most popular type of skin cancer, leading to more than 9000 …

Detection and classification of melanoma skin cancer using image processing technique

CK Viknesh, PN Kumar, R Seetharaman, D Anitha - Diagnostics, 2023 - mdpi.com
Human skin cancer is the most common and potentially life-threatening form of cancer.
Melanoma skin cancer, in particular, exhibits a high mortality rate. Early detection is crucial …