Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review

MA Kassem, KM Hosny, R Damaševičius, MM Eltoukhy - Diagnostics, 2021 - mdpi.com
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …

Melanoma and nevus skin lesion classification using handcraft and deep learning feature fusion via mutual information measures

JA Almaraz-Damian, V Ponomaryov, S Sadovnychiy… - Entropy, 2020 - mdpi.com
In this paper, a new Computer-Aided Detection (CAD) system for the detection and
classification of dangerous skin lesions (melanoma type) is presented, through a fusion of …

Malignant skin melanoma detection using image augmentation by oversamplingin nonlinear lower-dimensional embedding manifold

OO Abayomi-Alli, R Damasevicius… - Turkish Journal of …, 2021 - journals.tubitak.gov.tr
The continuous rise in skin cancer cases, especially in malignant melanoma, has resulted in
a high mortality rate of the affected patients due to late detection. Some challenges affecting …

Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models

TY Tan, L Zhang, CP Lim - Applied Soft Computing, 2019 - Elsevier
In this research, we propose an intelligent decision support system for skin cancer detection.
Since generating an effective lesion representation is a vital step to ensure the success of …

Integrated design of deep features fusion for localization and classification of skin cancer

J Amin, A Sharif, N Gul, MA Anjum, MW Nisar… - Pattern Recognition …, 2020 - Elsevier
The common fatal type of skin cancer is melanoma. Recently, numerous intelligent systems
are used to detect skin cancer at an early stage. These systems are helpful for a …

BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification

M Ajmal, MA Khan, T Akram, A Alqahtani… - Neural Computing and …, 2023 - Springer
The convolutional neural network showed considerable success in medical imaging with
explainable AI for cancer detection and recognition. However, the irrelevant and large …

Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features

T Akram, MA Khan, M Sharif, M Yasmin - Journal of Ambient Intelligence …, 2024 - Springer
The number of deaths caused by melanoma has increased remarkably in the last few years
which are the carcinogenic type of skin cancer. Lately, computer based methods are …

Melanoma detection using XGB classifier combined with feature extraction and K-means SMOTE techniques

CC Chang, YZ Li, HC Wu, MH Tseng - Diagnostics, 2022 - mdpi.com
Melanoma, a very severe form of skin cancer, spreads quickly and has a high mortality rate if
not treated early. Recently, machine learning, deep learning, and other related technologies …

[HTML][HTML] A hybrid deep learning skin cancer prediction framework

E Farea, RAA Saleh, H AbuAlkebash… - … Science and Technology …, 2024 - Elsevier
Skin cancer, a critical health concern, necessitates accurate early detection and
classification to mitigate its impact. However, the limited availability of medical datasets and …

Generating knowledge-guided discriminative features using genetic programming for melanoma detection

QU Ain, H Al-Sahaf, B Xue… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Melanoma is the deadliest form of skin cancer that causes around 75% of deaths worldwide.
However, most of the skin cancers can be cured, especially if detected and treated early …