Neural networks from Keras in skin lesion diagnostic

• Autorzy: Michalska-Ciekańska Magdalena

Identyfikatory

DOI

10.35784/iapgos.2876

Warianty tytułu

PL

Sieci neuronowe z Keras w diagnostyce zmian skórnych

• Języki publikacji: EN

Abstrakty

EN

Melanoma is currently one of the most dangerous skin diseases, in addition many others appear in the population. Scientists are developing techniques for early non-invasive skin lesions diagnosis from dermatoscopic images, for this purpose neural networks are increasingly used. Many tools are being developed to allow for faster implementation of the network, including the Keras package. The article presents selected methods of diagnosing skin diseases, including the process of classification, features selection, extracting the skin lesion from the whole image.The described methods have been implemented using deep neural networks available in the Keras package. The article draws attention to the effectiveness, specificity, accuracy of classification based on available data sets, attention was paid to tools that allow for more effective operation of algorithms.

PL

Melanoma jest obecnie jedną z najbardziej niebezpiecznych chorób skóry, oprócz niej pojawia się w populacji wiele innych. Naukowcy rozwijają techniki wczesnego nieinwazyjnego diagnozowania zmian skórnych z obrazów dermatoskopowych, w tym celu coraz częściej wykorzystywane są sieci neuronowe. Powstaje wiele narzędzi powzalajcych na szybszą implementację sieci należy do niej pakiet Keras. W artykule przedstawiono wybrane metody diagnostyki chorób skóry, należy do nich proces klasyfikacji, selekcji cech, wyodrębnienia zmiany skórnej z całego obrazu. Opisane metody zostały zostały zaimplementowane za pomocą dostępnych w pakiecie Keras głębokich sieci neuronowych. W artykule zwrócono uwagę na skuteczność, specyficzność, dokładność klasyfikacji w oparciu o dostępne zestawy danych, zwrócono uwagę na narzędzi pozwalające na efektywniejsze działanie algorytmów.

Słowa kluczowe

EN

dermatoscopic images; deep learning; melanoma; skin lesions; Keras

PL

obraz dermatoskopowy; uczenie głębokie; melanoma; zmiany skórne; Keras

• Wydawca: Wydawnictwo Politechniki Lubelskiej
• Czasopismo: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
• Rocznik: 2022
• Tom: T. 12, nr 1
• Strony: 40--43
• Opis fizyczny: Bibliogr. 37 poz., tab., rys., wykr.

Twórcy

autor

Michalska-Ciekańska Magdalena

• Lublin University of Technology, Department of Electronics and Information Technology, Lublin, Poland

• https://orcid.org/0000-0002-0874-3285

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).