A smartphone-based test and predictive models for rapid, non-invasive, and point-of-care monitoring of ocular and cardiovascular complications related to diabetes-Reference-Cited by-同舟云学术

A smartphone-based test and predictive models for rapid, non-invasive, and point-of-care monitoring of ocular and cardiovascular complications related to diabetes

Published:2021 Issue: Volume:24 Page:100485
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Chakravadhanula Kasyap

Publisher

Elsevier BV

Subject

Health Informatics

Reference14 articles.

1. Trainable cosfire filters for vessel delineation with application to retinal images;Azzopardi;Med Image Anal,2015

2. Ridge based vessel segmentation in color images of the retina;Staal;IEEE Trans Med Imag,2004

3. EyePACS: an adaptable telemedicine system for diabetic retinopathy screening;Cuadros;Journal of diabetes science and technology (Online),2009

4. Automated detection of diabetic retinopathy using deep learning;Lam;AMIA Jt Summits Transl Sci Proc.,2018

5. Improvement of vessel segmentation by matched filtering in colour retinal images. In IFMBE Proceedings of World Congress on Medical Physics and Biomedical Engineering;Odstrcilik,2009

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