Identification of Melanocytic Skin Lesions Using Deep Learning Methods
Ładowanie...
Data
2023
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
Detection of skin cancer at an early stage is a priority in the
fight to reduce mortality. The aim of the paper is to develop a method of
computer aided diagnosis of melanocytic skin lesions through analysis of
dermatoscopic images using deep NN methods. In particular, the goal is to
use the multiple binary CNN model approach. The results obtained are much
better in distinguishing between categories of lesions compared to the model
built on the entire 7-class image database.
Opis
Słowa kluczowe
melanocytic skin lesions, computer aided diagnosis, convolutional neural network, melanocytowe zmiany skórne, diagnostyka komputerowa, splotowa sieć neuronowa
Cytowanie
Paja W., Szkoła J., Pancerz K., Sarzyński J., Żychowska M., Identification of Melanocytic Skin Lesions Using Deep Learning Methods. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 239-244, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.38.