Detection and classification of skin lesion based neural networks
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Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Skin cancers emerge from the skin due to the
growth of untypical cells that dispersal to other parts of the
body. Through early detection, very high success rates can be
achieved in treating most cases of skin cancer, including the
most aggressive and deadly forms and types.
The objective of this work is brief as follows: First, to collect
a real database from Al-Kindi Hospital and Baghdad Medical
City. Next, choose smart classification methods for the early
detection of skin lesions. Second, propose a new technique for
reducing database noise obtained based on convolutional
neural networks (CNN). Third, a new algorithm has been
proposed for dividing a cutaneous lesion into cutaneous
images based on the straight active-contour and
morphological processes.
Açıklama
Anahtar Kelimeler
Skin Cancer, Denoising, Segmentation, CNN, SVM, KNN
Kaynak
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Abdullah, H. N., Abdullah, A. N., Khalaf, N. H., & Abduljaleel, H. K. (2021, October). Detection and Classification of Skin Lesion Based Neural Networks. In 2021 International Conference on Engineering and Emerging Technologies (ICEET) (pp. 1-5). IEEE.
