Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
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 …
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
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 …
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 …
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
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 …
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
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 …
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
The convolutional neural network showed considerable success in medical imaging with
explainable AI for cancer detection and recognition. However, the irrelevant and large …
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
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 …
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
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 …
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 …
classification to mitigate its impact. However, the limited availability of medical datasets and …
Generating knowledge-guided discriminative features using genetic programming for melanoma detection
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 …
However, most of the skin cancers can be cured, especially if detected and treated early …