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 …

Deep learning approaches towards skin lesion segmentation and classification from dermoscopic images-a review

R Baig, M Bibi, A Hamid, S Kausar… - Current medical …, 2020 - ingentaconnect.com
Background: Automated intelligent systems for unbiased diagnosis are primary requirement
for the pigment lesion analysis. It has gained the attention of researchers in the last few …

Skin cancer detection using ensemble of machine learning and deep learning techniques

JV Tembhurne, N Hebbar, HY Patil, T Diwan - Multimedia Tools and …, 2023 - Springer
Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …

Novel approaches for diagnosing melanoma skin lesions through supervised and deep learning algorithms

J Premaladha, KS Ravichandran - Journal of medical systems, 2016 - Springer
Dermoscopy is a technique used to capture the images of skin, and these images are useful
to analyze the different types of skin diseases. Malignant melanoma is a kind of skin cancer …

[PDF][PDF] Computer-aided model for skin diagnosis using deep learning

DA Shoieb, SM Youssef, WM Aly - Journal of Image and Graphics, 2016 - academia.edu
Melanoma is the deadliest kind of skin cancer. However, it's hard to identify melanoma
during its early to mid stages by visual examination. So, there is a call for an automated …

Skin cancer detection: a review using deep learning techniques

M Dildar, S Akram, M Irfan, HU Khan… - International journal of …, 2021 - mdpi.com
Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-
repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or …

Skin lesion analysis and cancer detection based on machine/deep learning techniques: A comprehensive survey

M Zafar, MI Sharif, MI Sharif, S Kadry, SAC Bukhari… - Life, 2023 - mdpi.com
The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …

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 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 …

Melanoma skin cancer detection using image processing and machine learning techniques

MAA Thaajwer, UAP Ishanka - 2020 2nd international …, 2020 - ieeexplore.ieee.org
In humans, skin cancer is the most common and severe type of cancer. Melanoma is a
deadly type of skin cancer. If it identifies early stages, it can be easily cured. The formal …