CellsDeepNet: A Novel Deep Learning-Based Web Application for the Automated Morphometric Analysis of Corneal Endothelial Cells

CellsDeepNet: A Novel Deep Learning-Based Web Application for the Automated Morphometric Analysis of Corneal Endothelial Cells

The quantification of corneal endothelial cell (CEC) morphology using manual and semi-automatic software enables an objective assessment of corneal endothelial pathology. However, the procedure is tedious, subjective, and not widely applied in clinical practice. We have developed the CellsDeepNet sy...

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Bibliographic Details
Main Authors: Alaa S. Al-Waisy, Abdulrahman Alruban, Shumoos Al-Fahdawi, Rami Qahwaji, Georgios Ponirakis, Rayaz A. Malik, Mazin Abed Mohammed, Seifedine Kadry
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
corneal confocal microscopy
corneal endothelial cells
Complex Wavelet Transform
deep learning
Convolutional Neural Network
U-Net architecture
Online Access:https://www.mdpi.com/2227-7390/10/3/320

Internet

https://www.mdpi.com/2227-7390/10/3/320

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