Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection
Pakistan Journal of Engineering & TechnologyAdvanced diagnostic methods are necessary for the early and precise diagnosis of skin cancer, a deadly disease that poses a danger. The accuracy of manual skin lesion assessment and visual inspection is limited, which is why sophisticated diagnostic ...
Momina Qureshi +2 more
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Skin lesion classification from dermoscopy images using color and shape features [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2017 In this study, a new algorithm for dermoscopy image classification into two types of malignant and benign is presented. At first, one preprocessing step to remove noise and also enhance image quality is performed.
hamid reza javadi, Hossein Poorghasem
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Feature Learning and Boundary Guidance for Skin Lesion Image Segmentation Network [PDF]
Jisuanji gongchengSkin lesion images significantly affect the accuracy of segmentation algorithms because of characteristics such as blurred lesion boundaries, large variations in size, and irregular shapes.
LIU Menghan, LIU Li, FU Xiaodong, LIU Lijun, PENG Wei
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Classification of Skin Lesions Using Weighted Majority Voting Ensemble Deep Learning
Algorithms, 2022 The conventional dermatology practice of performing noninvasive screening tests to detect skin diseases is a source of escapable diagnostic inaccuracies.
Damilola A. Okuboyejo +1 more
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Clinical characteristics associated with Borrelia burgdorferi sensu lato skin culture results in patients with erythema migrans. [PDF]
PLoS ONE, 2013 Clinical characteristics associated with isolation of Borrelia burgdorferi sensu lato from skin have not been fully evaluated. To gain insight into predictors for a positive EM skin culture, we compared basic demographic, epidemiologic, and clinical data
Franc Strle +9 more
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Adversarial Training Based Domain Adaptation of Skin Cancer Images
LifeSkin lesion datasets used in the research are highly imbalanced; Generative Adversarial Networks can generate synthetic skin lesion images to solve the class imbalance problem, but it can result in bias and domain shift.
Syed Qasim Gilani +4 more
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Simple and Accurate Border Detection Algorithm for Melanoma Computer Aided Diagnosis
Diagnostics, 2020 The interest of the scientific community for computer aided skin lesion analysis and characterization has been increased during the last years for the growing incidence of melanoma among cancerous pathologies. The detection of melanoma in its early stage
Cataldo Guaragnella, Maria Rizzi
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Skin Lesion Segmentation Using Image Bit-Plane Multilayer Approach
Applied Sciences, 2020 The establishment of automatic diagnostic systems able to detect and classify skin lesions at the initial stage are getting really relevant and effective in providing support for medical personnel during clinical assessment.
Maria Rizzi, Cataldo Guaragnella
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Registration of dermatoscopic images of skin neoplasms and detection of structural differences
Системный анализ и прикладная информатика, 2023 The paper considers the application of an algorithm based on a morphological projector for determining structural differences for comparing dermoscopic images.
A. F. Smalyuk +2 more
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Sensors, 2020 Skin lesion classification is an effective approach aided by computer vision for the diagnosis of skin cancer. Though deep learning models presented advantages over traditional methods and brought tremendous breakthroughs, a precise diagnosis is still ...
Jing Wu +4 more
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