Machine learning techniques for corneal diseases diagnosis: A survey
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Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
World Scientific
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Machine learning techniques become more related to medical researches by using medical images as a dataset. It is categorized and analyzed for ultimate effectiveness in diagnosis or decision-making for diseases. Machine learning techniques have been exploited in numerous researches related to corneal diseases, contribution to ophthalmologists for diagnosing the diseases and comprehending the way automated learning techniques act. Nevertheless, confusion still exists in the type of data used, whether it is images, data extracted from images or clinical data, the course reliant on the type of device for obtaining them. In this study, the researches that used machine learning were reviewed and classified in terms of the kind of utilized machine for capturing data, along with the latest updates in sophisticated approaches for corneal disease diagnostic techniques.
Açıklama
*Jameel, Samer Kais ( Aksaray, Yazar )
Anahtar Kelimeler
Computer-aided Diagnosis (CAD), Corneal Disease Diagnosis, Machine Learning
Kaynak
International Journal of Image and Graphics
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
21
Sayı
2
