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 …
[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
What can be transferred: Unsupervised domain adaptation for endoscopic lesions segmentation
Unsupervised domain adaptation has attracted growing research attention on semantic
segmentation. However, 1) most existing models cannot be directly applied into lesions …
segmentation. However, 1) most existing models cannot be directly applied into lesions …
Skin lesion extraction using multiscale morphological local variance reconstruction based watershed transform and fast fuzzy C-means clustering
Early identification of melanocytic skin lesions increases the survival rate for skin cancer
patients. Automated melanocytic skin lesion extraction from dermoscopic images using the …
patients. Automated melanocytic skin lesion extraction from dermoscopic images using the …
Deep learning and optimization-based methods for skin lesions segmentation: a review
KM Hosny, D Elshoura, ER Mohamed… - IEEE …, 2023 - ieeexplore.ieee.org
Skin cancer is a senior public health issue that could profit from computer-aided diagnosis to
decrease the encumbrance of this widespread disease. Researchers have been more …
decrease the encumbrance of this widespread disease. Researchers have been more …
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 …
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection
Malignant melanoma, not belongs to a common type of skin cancers but most serious
because of its growth—affecting large number of people worldwide. Recent studies …
because of its growth—affecting large number of people worldwide. Recent studies …
Automated skin lesion segmentation of dermoscopic images using GrabCut and k‐means algorithms
SM Jaisakthi, P Mirunalini, C Aravindan - IET Computer Vision, 2018 - Wiley Online Library
Skin cancer is the most common type of cancer in the world and the incidents of skin cancer
have been rising over the past decade. Even with a dermoscopic imaging system, which …
have been rising over the past decade. Even with a dermoscopic imaging system, which …
Skin lesion segmentation using k-mean and optimized fire fly algorithm
S Garg, B Jindal - Multimedia Tools and Applications, 2021 - Springer
Digital image processing is turning out to be increasingly more significant in the health care
field used to diagnose skin cancer. The death rate is increasing by 1% every year due to …
field used to diagnose skin cancer. The death rate is increasing by 1% every year due to …