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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3199613
Abstract: Skin cancer is one of the most threatening cancers, which spreads to the other parts of the body if not caught and treated early. During the last few years, the integration of deep learning into…
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Keywords:
dermoscopic images;
skin cancer;
diagnosis skin;
deep learning ... See more keywords
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1
Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3193685
Abstract: Fluorescence imaging-based diagnostic systems have been widely used to diagnose skin diseases due to their ability to provide detailed information related to the molecular composition of the skin compared to conventional RGB imaging. In addition,…
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Keywords:
skin;
diagnosis skin;
deep learning;
skin diseases ... See more keywords
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1
Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9539503
Abstract: Skin disease is the major health problem around the world. The diagnosis of skin disease remains a challenge to dermatologist profession particularly in the detection, evaluation, and management. Health data are very large and complex…
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Keywords:
skin disease;
nanotechnology;
disease;
diagnosis skin ... See more keywords
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0
Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12071628
Abstract: Skin cancer is the most commonly diagnosed and reported malignancy worldwide. To reduce the death rate from cancer, it is essential to diagnose skin cancer at a benign stage as soon as possible. To save…
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Keywords:
skin;
skin cancer;
diagnosis skin;
model ... See more keywords
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Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12071713
Abstract: Invasive melanoma, a common type of skin cancer, is considered one of the deadliest. Pathologists routinely evaluate melanocytic lesions to determine the amount of atypia, and if the lesion represents an invasive melanoma, its stage.…
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Keywords:
skin;
segmentation;
diagnosis skin;
improving diagnosis ... See more keywords
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Published in 2019 at "Annals of Saudi Medicine"
DOI: 10.5144/0256-4947.2019.388
Abstract: ABSTRACT BACKGROUND: The accuracy of clinical diagnoses of skin diseases has not been researched in Saudi Arabia. OBJECTIVES: Assess concordance between the histopathological and clinical diagnosis in skin diseases. DESIGN: Retrospective. SETTING: Academic tertiary care…
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Keywords:
clinical diagnosis;
concordance;
diagnosis skin;
histopathology ... See more keywords