Photo acoustic and optical coherence tomography imaging. Volume 2, Fundus imaging for the retina / edited by Ayman El-Baz, Jasjit S. Suri.

Format:

Book

Contributor:

El-Baz, Ayman S., editor.

Suri, Jasjit S., editor.

Institute of Physics (Great Britain), publisher.

Series:

IOP (Series). Release 22.

IOP ebooks. 2022 collection.

[IOP release $release]

IOP ebooks. [2022 collection]

Language:

English

Subjects (All):

Eye--Blood-vessels--Radiography.

Eye.

Eye--Tomography.

Optical coherence tomography.

Eye--blood supply.

Tomography, Optical Coherence.

Medical Subjects:

Eye--blood supply.

Tomography, Optical Coherence.

Physical Description:

1 online resource (various pagings) : illustrations (some color).

Place of Publication:

Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Biography/History:

Ayman El-Baz is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at Alamein International University (UofL-AIU), New Alamein City, Egypt. Jasjit S. Suri is an innovator, scientist, and an internationally known world leader in biomedical engineering.

Summary:

This book covers the state-of-the-art techniques of fundus imaging for the diagnosis of retinal diseases.

Contents:

1. Texture interpretability of fundus imaging and diabetic retinopathy : a review / Ahmed Naglah, Mohammed Ghazal, Fatma Taher, Ali Mahmoud and Ayman El-Baz

2. A two-phase novel optic disc detection algorithm based on vesselness distribution and a fuzzy classifier using vessel ramification and fundus color features / Mehmet Nergiz

3. Application of enface image registration/alignment to introduce new ocular imaging biomarkers / Zahra Amini, Rahele Kafieh, Mahnoosh Tajmirriahi, Zeinab Parsons and Hossein Rabbani

4. Existing techniques used for retinal image analysis in the automated detection and prediction of AMD / Samina Khalid, Usman Akram, Tehmina Sheryar and Farah Karim

5. Interobserver variability in the determination of diabetic retinopathy and quality of fundus image / Sílvia Rêgo, Matilde Monteiro-Soares, Filipe Soares and Marco Dutra-Medeiros

6. Computer-aided diagnosis of Plus disease in preterm infants / Sivakumar Ramachandran, Bejoy Abraham, P. Niyas, Anand Vinekar and Renu John

7. Retinal disease management using fundus autofluorescence images / Shanmukh Reddy Manne, Kiran Kumar Vupparaboina, Gowtham Chowdary Gudapati, Ram Anudeep Peddoju, Chandra Prakash Konkimalla, Abhilash Goud, Sarforaz Bin Bashar, Jay Chhablani and Soumya Jana

8. A review of mainstream ophthalmic AI algorithms : advances, limitations, and challenges / Lie Ju, Yicheng Wu, Lin Wang, Wei Feng, Di Xu, Xin Wang, Xin Zhao and Zongyuan Ge

9. Diabetic retinopathy detection and classification through fundus images using AlexNet / Amnia Salma

10. A framework for joint cup and disc segmentation in fundus images / Maleeha Khalid Khan and Syed Muhammad Anwar.

Notes:

"Version: 20221201"--Title page verso.

Includes bibliographical references.

Title from PDF title page (viewed on January 9, 2023).

Other Format:

Print version:

ISBN:

9780750320566

9780750320573

OCLC:

1358413903

Access Restriction:

Restricted for use by site license.