PRZEGLĄD METOD KLASYFIKACJI OBRAZÓW DERMATOSKOPOWYCH WYKORZYSTYWANYCH W DIAGNOSTYCE ZMIAN SKÓRNYCH
Magdalena Michalska
mmagamichalska@gmail.comLublin University of Technology (Polska)
Oksana Boyko
Danylo Halytsky Lviv National Medical University, Department of Medical Informatics (Ukraina)
http://orcid.org/0000-0002-8810-8969
Abstrakt
Artykuł zawiera przegląd wybranych metod klasyfikacji obrazów dermatoskopowych zmian skórnych człowieka z uwzględnieniem różnych etapów choroby dermatologicznej. Opisane algorytmy są szeroko wykorzystywane w diagnostyce zmian skórnych, takie jak sztuczne sieci neuronowe (CNN, DCNN), random forests, SVM, klasyfikator kNN, AdaBoost MC i ich modyfikacje. Porównana i przeanalizowana została również skuteczność, specyficznośc i dokładność klasyfikatów w oparciu o te same zestawy danych.
Słowa kluczowe:
obrazy dermatoskopowe, metody klasyfikacji, sztuczne sieci neuronowe, SVM, nowotwór skóry, zmiany skórneBibliografia
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Autorzy
Oksana BoykoDanylo Halytsky Lviv National Medical University, Department of Medical Informatics Ukraina
http://orcid.org/0000-0002-8810-8969
Statystyki
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Licencja
Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa – Na tych samych warunkach 4.0 Miedzynarodowe.
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