A fully automated tortuosity quantification system with application to corneal nerve fibres in confocal microscopy images

Author:

Annunziata Roberto,Kheirkhah Ahmad,Aggarwal Shruti,Hamrah Pedram,Trucco Emanuele

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference66 articles.

1. Leveraging multiscale hessian-based enhancement with a novel exudate inpainting technique for retinal vessel segmentation;Annunziata;IEEE J. Biomed. Health Inf,2015

2. Tortuosity classification of corneal nerves images using a multiple-scale-multiple-window approach;Annunziata,2014

3. Boosting hand-crafted features for curvilinear structure segmentation by learning context filters;Annunziata,2015

4. Scale and curvature invariant ridge detector for tortuous and fragmented structures;Annunziata,2015

5. Supervised feature learning for curvilinear structure segmentation;Becker,2013

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