Computerized analysis of pigmented skin lesions: a review
K Korotkov, R Garcia - Artificial intelligence in medicine, 2012 - Elsevier
OBJECTIVE: Computerized analysis of pigmented skin lesions (PSLs) is an active area of
research that dates back over 25years. One of its main goals is to develop reliable automatic …
research that dates back over 25years. One of its main goals is to develop reliable automatic …
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation
Skin lesion segmentation from dermoscopic image is essential for improving the quantitative
analysis of melanoma. However, it is still a challenging task due to the large scale variations …
analysis of melanoma. However, it is still a challenging task due to the large scale variations …
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …
diagnose skin cancer has always been cumbersome. This manual examination of skin …
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
Background and objective Automatic segmentation of skin lesions in dermoscopy images is
still a challenging task due to the large shape variations and indistinct boundaries of the …
still a challenging task due to the large shape variations and indistinct boundaries of the …
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 …
Skin lesion segmentation in dermoscopic images with combination of YOLO and grabcut algorithm
Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin
cancer by computerized systems. However, automatic segmentation of skin lesions in …
cancer by computerized systems. However, automatic segmentation of skin lesions in …
Skin lesion segmentation with improved convolutional neural network
Recently, the incidence of skin cancer has increased considerably and is seriously
threatening human health. Automatic detection of this disease, where early detection is …
threatening human health. Automatic detection of this disease, where early detection is …
Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention
O Abuzaghleh, BD Barkana… - IEEE journal of …, 2015 - ieeexplore.ieee.org
Melanoma spreads through metastasis, and therefore, it has been proved to be very fatal.
Statistical evidence has revealed that the majority of deaths resulting from skin cancer are as …
Statistical evidence has revealed that the majority of deaths resulting from skin cancer are as …
[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 …
[图书][B] Dermoscopy image analysis
ME Celebi, T Mendonca, JS Marques - 2015 - books.google.com
Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and
either liquid immersion or cross-polarized lighting to make subsurface structures more …
either liquid immersion or cross-polarized lighting to make subsurface structures more …