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 …

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 …

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 …

SkinNet-16: A deep learning approach to identify benign and malignant skin lesions

P Ghosh, S Azam, R Quadir, A Karim… - Frontiers in …, 2022 - frontiersin.org
Skin cancer these days have become quite a common occurrence especially in certain
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …

Attention cost-sensitive deep learning-based approach for skin cancer detection and classification

V Ravi - Cancers, 2022 - mdpi.com
Simple Summary According to skin disease reports by healthcare organizations, the number
of cases of skin disease is growing gradually over the years globally. In skin disease …

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 …

Skin Cancer Detection Using Deep Learning—A Review

M Naqvi, SQ Gilani, T Syed, O Marques, HC Kim - Diagnostics, 2023 - mdpi.com
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …

[HTML][HTML] Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities

M Goyal, T Knackstedt, S Yan, S Hassanpour - Computers in biology and …, 2020 - Elsevier
Recently, there has been great interest in developing Artificial Intelligence (AI) enabled
computer-aided diagnostics solutions for the diagnosis of skin cancer. With the increasing …

On the automatic detection and classification of skin cancer using deep transfer learning

M Fraiwan, E Faouri - Sensors, 2022 - mdpi.com
Skin cancer (melanoma and non-melanoma) is one of the most common cancer types and
leads to hundreds of thousands of yearly deaths worldwide. It manifests itself through …

A computer‐aided diagnosis system using deep learning for multiclass skin lesion classification

M Arshad, MA Khan, U Tariq, A Armghan… - Computational …, 2021 - Wiley Online Library
In the USA, each year, almost 5.4 million people are diagnosed with skin cancer. Melanoma
is one of the most dangerous types of skin cancer, and its survival rate is 5%. The …