Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning
PURPOSE:Recent advances in deep learning have seen an increase in its application to automated image analysis in ophthalmology for conditions with a high prevalence. We wanted to identify whether deep learning could be used for the automated classification of optical coherence tomography (OCT) image...
Asıl Yazarlar: | Shah, M, Roomans Ledo, A, Rittscher, J |
---|---|
Materyal Türü: | Journal article |
Dil: | English |
Baskı/Yayın Bilgisi: |
Wiley
2020
|
Benzer Materyaller
-
Optical Coherence Tomography Angiography Findings in Stargardt Disease.
Yazar:: Rodolfo Mastropasqua, ve diğerleri
Baskı/Yayın Bilgisi: (2017-01-01) -
Swept-source optical coherence tomography study of choroidal morphology in Stargardt disease
Yazar:: Dhanashree Ratra, ve diğerleri
Baskı/Yayın Bilgisi: (2018-01-01) -
A Deep Learning Model for Cervical Optical Coherence Tomography Image Classification
Yazar:: Xiaohu Zuo, ve diğerleri
Baskı/Yayın Bilgisi: (2024-09-01) -
Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images
Yazar:: Esraa Hassan, ve diğerleri
Baskı/Yayın Bilgisi: (2023-06-01) -
Automated classification of angle-closure mechanisms based on anterior segment optical coherence tomography images via deep learning
Yazar:: Ye Zhang, ve diğerleri
Baskı/Yayın Bilgisi: (2024-08-01)