Computer Vision

Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification

Data augmentation improves out-of-domain generalization in dermoscopic skin cancer classification; photometric transformations and mix policies show the largest …
Kozachok A., Latyshev I., Karpulevich E., Kozachok E., Ushakov E., Samovarov O.
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Cascade Classification of Dermoscopic Images of Skin Neoplasms with Controllable Sensitivity and External Clinical Validation

Purpose. To compare deep learning architectures and classification schemes for dermoscopic images of skin neoplasms and assess their …
Kozachok E.S., Seregin S.S., Kozachok A.V., Latyshev I.P., Samovarov O.I.
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Clinical Validation of the Melanoscope AI Mobile Dermoscopy Clinical Decision Support System

Introduction. Early detection of malignant skin lesions is critical for prognosis, yet dermatologist shortages in Russian regions limit …
Kozachok E.S., Seregin S.S.
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Methodology for Creating a Clinically Verified Dermoscopic Image Dataset

This study presents a methodology for constructing a clinically verified dataset of dermatoscopic images for medical informatics …
Kozachok E.S.
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