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 …
An overview of melanoma detection in dermoscopy images using image processing and machine learning
The incidence of malignant melanoma continues to increase worldwide. This cancer can
strike at any age; it is one of the leading causes of loss of life in young persons. Since this …
strike at any age; it is one of the leading causes of loss of life in young persons. Since this …
[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 …
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 …
Tissue classification and segmentation of pressure injuries using convolutional neural networks
Abstract Background and Objectives: This paper presents a new approach for automatic
tissue classification in pressure injuries. These wounds are localized skin damages which …
tissue classification in pressure injuries. These wounds are localized skin damages which …
Computer‐assisted diagnosis techniques (dermoscopy and spectroscopy‐based) for diagnosing skin cancer in adults
L Ferrante di Ruffano, Y Takwoingi… - Cochrane Database …, 1996 - cochranelibrary.com
Background Early accurate detection of all skin cancer types is essential to guide
appropriate management and to improve morbidity and survival. Melanoma and cutaneous …
appropriate management and to improve morbidity and survival. Melanoma and cutaneous …
[HTML][HTML] Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis
JLG Arroyo, BG Zapirain - Computers in biology and medicine, 2014 - Elsevier
By means of this study, a detection algorithm for the “pigment network” in dermoscopic
images is presented, one of the most relevant indicators in the diagnosis of melanoma. The …
images is presented, one of the most relevant indicators in the diagnosis of melanoma. The …
[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 …
Skin lesion image classification method based on extension theory and deep learning
X Bian, H Pan, K Zhang, P Li, J Li, C Chen - Multimedia Tools and …, 2022 - Springer
A skin lesion is a part of the skin that has abnormal growth on body parts. Early detection of
the lesion is necessary, especially malignant melanoma, which is the deadliest form of skin …
the lesion is necessary, especially malignant melanoma, which is the deadliest form of skin …
Melanoma detection and classification using computerized analysis of dermoscopic systems: a review
Malignant melanoma is considered as one of the most deadly cancers, which has broadly
increased worldwide since the last decade. In 2018, around 91,270 cases of melanoma …
increased worldwide since the last decade. In 2018, around 91,270 cases of melanoma …