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

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