Computer-aided diagnosis of skin cancer: a review
Cancer is currently one of the main health issues in the world. Among different varieties of
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …
Computational methods for pigmented skin lesion classification in images: review and future trends
RB Oliveira, JP Papa, AS Pereira… - Neural Computing and …, 2018 - Springer
Skin cancer is considered as one of the most common types of cancer in several countries,
and its incidence rate has increased in recent years. Melanoma cases have caused an …
and its incidence rate has increased in recent years. Melanoma cases have caused an …
Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques
Skin diseases remain a major cause of disability worldwide and contribute approximately
1.79% of the global burden of disease measured in disability-adjusted life years. In the …
1.79% of the global burden of disease measured in disability-adjusted life years. In the …
Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule
The ABCD (asymmetry, border irregularity, colour and dermoscopic structure) rule of
dermoscopy is a scoring method used by dermatologists to quantify dermoscopy findings …
dermoscopy is a scoring method used by dermatologists to quantify dermoscopy findings …
Digital hair removal by deep learning for skin lesion segmentation
W Li, ANJ Raj, T Tjahjadi, Z Zhuang - Pattern Recognition, 2021 - Elsevier
Occlusion due to hair in dermoscopic images affects the diagnostic operation and the
accuracy of its analysis of a skin lesion. Also, dermis hair has the following different …
accuracy of its analysis of a skin lesion. Also, dermis hair has the following different …
[PDF][PDF] A state-of-the-art survey on lesion border detection in dermoscopy images
Invasive and in situ malignant melanoma together comprise one of the most rapidly
increasing cancers in the world. Invasive melanoma alone has an estimated incidence of …
increasing cancers in the world. Invasive melanoma alone has an estimated incidence of …
Automated skin lesion segmentation of dermoscopic images using GrabCut and k‐means algorithms
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 …
Hair segmentation and removal in dermoscopic images using deep learning
L Talavera-Martinez, P Bibiloni… - IEEE …, 2020 - ieeexplore.ieee.org
Melanoma and non-melanoma skin cancers have shown a rapidly increasing incidence
rate, pointing to skin cancer as a major problem for public health. When analyzing these …
rate, pointing to skin cancer as a major problem for public health. When analyzing these …
Deep learning approaches towards skin lesion segmentation and classification from dermoscopic images-a review
Background: Automated intelligent systems for unbiased diagnosis are primary requirement
for the pigment lesion analysis. It has gained the attention of researchers in the last few …
for the pigment lesion analysis. It has gained the attention of researchers in the last few …
ChimeraNet: U-Net for hair detection in dermoscopic skin lesion images
Hair and ruler mark structures in dermoscopic images are an obstacle preventing accurate
image segmentation and detection of critical network features. Recognition and removal of …
image segmentation and detection of critical network features. Recognition and removal of …