Fr. 406.00

Ophthalmological Imaging and Applications

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more

"The human eye is the most important organ and works like a camera. It is tedious and time consuming to decipher minute changes in the anatomy of the eye caused due to the progression of eye abnormalities. The growth in image processing, artificial intelligence, high-performance computing, and modeling techniques has had a significant impact in the detection and treatment of eye disease. Optical, digital fundus, infrared, optical coherence tomography, and Heidelberg retina tomograph images have been widely used to diagnose eye abnormalities. This book covers wide-ranging topics like computer-aided diagnosis of diabetes retinopathy, maculopathy, glaucoma, dry eye, cist, imaging of eye after glaucoma surgery, optic nerve analysis, anterior segment imaging of eye, infrared imaging of eye, confocal microscopy of cornea, optical coherence tomography, scanning laser ophthalmoscopy, fundus perimetry, fundus autofluorescence (FAF) imaging, in vivo confocal microscopy, hybrid finite element simulation for bioheattransfer in the human eye, and effects of electromagnetic on specific absorption rates. The retina provides an ideal opportunity to explore the role of microvascular pathology in the pathophysiology of cardiovascular diseases. Over the last decade, advances in retinal vascular imaging allowed the development of accurate and reliable quantitative parameters such as retinal vascular calibers. Using these parameters, several large population-based studies have shown that retinal vascular calibers are related to cardiovascular diseases"--Provided by publisher.

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.