PRZEGLĄD METOD KLASYFIKACJI OBRAZÓW DERMATOSKOPOWYCH WYKORZYSTYWANYCH W DIAGNOSTYCE ZMIAN SKÓRNYCH

Magdalena Michalska

mmagamichalska@gmail.com
Lublin 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 skórne

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Opublikowane
2020-06-30

Cited By / Share

Michalska, M., & Boyko, O. (2020). PRZEGLĄD METOD KLASYFIKACJI OBRAZÓW DERMATOSKOPOWYCH WYKORZYSTYWANYCH W DIAGNOSTYCE ZMIAN SKÓRNYCH. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 10(2), 36–39. https://doi.org/10.35784/iapgos.1569

Autorzy

Magdalena Michalska 
mmagamichalska@gmail.com
Lublin University of Technology Polska

Autorzy

Oksana Boyko 

Danylo Halytsky Lviv National Medical University, Department of Medical Informatics Ukraina
http://orcid.org/0000-0002-8810-8969

Statystyki

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