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 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 …

[HTML][HTML] MSRNet: multiclass skin lesion recognition using additional residual block based fine-tuned deep models information fusion and best feature selection

S Bibi, MA Khan, JH Shah, R Damaševičius, A Alasiry… - Diagnostics, 2023 - mdpi.com
Cancer is one of the leading significant causes of illness and chronic disease worldwide.
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …

Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer …

O Attallah - Computers in Biology and Medicine, 2024 - Elsevier
Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …

Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks

M Toğaçar, Z Cömert, B Ergen - Chaos, Solitons & Fractals, 2021 - Elsevier
Melanocytes are skin cells that give color to the skin and form melanin color pigments. The
unbalanced division and proliferation of these cells result in skin cancer. The early diagnosis …

MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data …

S Montaha, S Azam, AKMRH Rafid, MZ Hasan… - Frontiers in …, 2022 - frontiersin.org
Interpretation of medical images with a computer-aided diagnosis (CAD) system is arduous
because of the complex structure of cancerous lesions in different imaging modalities, high …

Skin cancer identification utilizing deep learning: A survey

D Meedeniya, S De Silva, L Gamage… - IET Image …, 2024 - Wiley Online Library
Melanoma, a highly prevalent and lethal form of skin cancer, has a significant impact
globally. The chances of recovery for melanoma patients substantially improve with early …

A deep learning based architecture for multi-class skin cancer classification

S Mushtaq, O Singh - Multimedia Tools and Applications, 2024 - Springer
One of the deadliest forms of skin cancer is malignant melanoma, developed by aberrant
melanocyte cell development. Efficient diagnostic procedures are essential due to the rising …

Skin cancer detection and classification based on deep learning

RA Said, H Raza, S Muneer, K Amjad… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
Melanoma (MEL) is a form of malignant cancer of the skin that is harmful to health.
Appropriate analysis of MEL at initial phase is critical for the achievement percentage of …

New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor

M Baygin, T Tuncer, S Dogan - arxiv preprint arxiv:2203.15090, 2022 - arxiv.org
Background: Skin cancer is one of the widely seen cancer worldwide and automatic
classification of skin cancer can be benefited dermatology clinics for an accurate diagnosis …