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Computational methods for the image segmentation of pigmented skin lesions: a review
Background and objectives Because skin cancer affects millions of people worldwide,
computational methods for the segmentation of pigmented skin lesions in images have been …
computational methods for the segmentation of pigmented skin lesions in images have been …
Computational methods for pigmented skin lesion classification in images: review and future trends
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 …
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 …
Detection of skin cancer using SVM, random forest and kNN classifiers
Most common and deadly type of cancer is Skin cancer. The destructive kind of cancers in
skin is Melanoma as well as it can be identified at the initial stage and can be cured …
skin is Melanoma as well as it can be identified at the initial stage and can be cured …
MFSNet: A multi focus segmentation network for skin lesion segmentation
Segmentation is essential for medical image analysis to identify and localize diseases,
monitor morphological changes, and extract discriminative features for further diagnosis …
monitor morphological changes, and extract discriminative features for further diagnosis …
[HTML][HTML] Skin lesion segmentation from dermoscopic images using convolutional neural network
Clinical treatment of skin lesion is primarily dependent on timely detection and delimitation
of lesion boundaries for accurate cancerous region localization. Prevalence of skin cancer is …
of lesion boundaries for accurate cancerous region localization. Prevalence of skin cancer is …
A computational approach for detecting pigmented skin lesions in macroscopic images
Skin cancer is considered one of the most common types of cancer in several countries and
its incidence rate has increased in recent years. Computational methods have been …
its incidence rate has increased in recent years. Computational methods have been …
DE-Net: A deep edge network with boundary information for automatic skin lesion segmentation
Automatic skin lesion segmentation is one of the most important tasks for computer-aided
diagnosis of skin cancer. Although many deep learning-based methods have been …
diagnosis of skin cancer. Although many deep learning-based methods have been …
[كتاب][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 classification using machine learning approach: A survey
Study of skin disease images through human effort, for detection of skin cancer, has always
been a very difficult task. Distinguishing and manually analyzing skin lesions for detection of …
been a very difficult task. Distinguishing and manually analyzing skin lesions for detection of …