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 develo** computer-aided diagnosis …
researchers have shown an increasing interest in develo** 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 …
Automatic skin cancer detection in dermoscopy images based on ensemble lightweight deep learning network
L Wei, K Ding, H Hu - IEEE Access, 2020 - ieeexplore.ieee.org
The complex detection background and lesion features make the automatic detection of
dermoscopy image lesions face many challenges. The previous solutions mainly focus on …
dermoscopy image lesions face many challenges. The previous solutions mainly focus on …
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 …
On the automatic detection and classification of skin cancer using deep transfer learning
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 …
leads to hundreds of thousands of yearly deaths worldwide. It manifests itself through …
Intelligent fusion-assisted skin lesion localization and classification for smart healthcare
With the rapid development of information technology, the conception of smart healthcare
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …
Skin lesion analysis and cancer detection based on machine/deep learning techniques: A comprehensive survey
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 …
dangerous kinds of cancer. Various pathological variations in the human body can cause …
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 …
Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
A multilevel features selection framework for skin lesion classification
Melanoma is considered to be one of the deadliest skin cancer types, whose occurring
frequency elevated in the last few years; its earlier diagnosis, however, significantly …
frequency elevated in the last few years; its earlier diagnosis, however, significantly …