Browsing by Author "Bondarenko, Andrey"
Now showing items 1-2 of 2
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Training deep learning algorithms with multispectral dataset of skin lesions for the improvement of skin cancer diagnosis
(International Society for Photo-Optical Instrumentation Engineers (SPIE), 2023)
Conference report
Open AccessDermatologists are starting to make use of Computer-Aided Diagnosis based on deep learning algorithms, which can provide them with an objective judgement during evaluation of equivocal lesions. DL algorithms can be trained ... -
Training state-of-the-art deep learning algorithms with visible and extended near-infrared multispectral images of skin lesions for the improvement of skin cancer diagnosis
(2025-02-01)
Article
Open AccessAn estimated 60,000 people die annually from skin cancer, predominantly melanoma. The diagnosis of skin lesions primarily relies on visual inspection, but around half of lesions pose diagnostic challenges, often necessitating ...
