Multi-features extraction based on deep learning for skin lesion classification
For various forms of skin lesion, many different feature extraction methods have been
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
[HTML][HTML] AI-powered diagnosis of skin cancer: a contemporary review, open challenges and future research directions
Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …
learning and machine learning techniques used for diagnosing skin cancer. While …
[HTML][HTML] 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 …
An improved VGG model for skin cancer detection
Skin cancer is one of the most prevalent malignancies in humans and is generally
diagnosed through visual means. Since it is essential to detect this type of cancer in its early …
diagnosed through visual means. Since it is essential to detect this type of cancer in its early …
State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review
Skin cancer is among the most common and lethal cancer types, with the number of cases
increasing dramatically worldwide. If not diagnosed in the nascent stages, it can lead to …
increasing dramatically worldwide. If not diagnosed in the nascent stages, it can lead to …
[HTML][HTML] DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification
M Zafar, J Amin, M Sharif, MA Anjum, GA Mallah… - Mathematics, 2023 - mdpi.com
The development of abnormal cell growth is caused by different pathological alterations and
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
An automated skin melanoma detection system with melanoma-index based on entropy features
Skin melanoma is a potentially life-threatening cancer. Once it has metastasized, it may
cause severe disability and death. Therefore, early diagnosis is important to improve the …
cause severe disability and death. Therefore, early diagnosis is important to improve the …
A novel soft attention-based multi-modal deep learning framework for multi-label skin lesion classification
AN Omeroglu, HMA Mohammed, EA Oral… - … Applications of Artificial …, 2023 - Elsevier
Skin cancer is one of the fatal cancers worldwide. Early detection of this disease can
significantly increase the survival rate. In this study, a multi-modal and soft attention based …
significantly increase the survival rate. In this study, a multi-modal and soft attention based …
A median based quadrilateral local quantized ternary pattern technique for the classification of dermatoscopic images of skin cancer
Skin Cancer is one of the most widespread forms of cancer in the world which can be
detected using dermatoscopic images. In this paper, a texture based feature extraction …
detected using dermatoscopic images. In this paper, a texture based feature extraction …
Skin cancer segmentation with the aid of multi-class dilated D-net (MD2N) framework
Skin cancer is one of the world's most hazardous diseases, and identification of skin cancer
is more challenging. Recently Deep learning algorithms have evolved to produce …
is more challenging. Recently Deep learning algorithms have evolved to produce …