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

Contributor(s): El-Baz, Ayman S [editor.] | Suri, Jasjit S [editor.] | Institute of Physics (Great Britain) [publisher.].
Material type: materialTypeLabelBookSeries: IOP (Series)Release 22: ; IOP ebooks2022 collection: Publisher: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]Description: 1 online resource (various pagings) : illustrations (some color).Content type: text Media type: electronic Carrier type: online resourceISBN: 9780750320566; 9780750320573.Subject(s): Eye -- Blood-vessels -- Radiography | Eye -- Tomography | Optical coherence tomography | Eye -- blood supply | Tomography, Optical Coherence | Biomedical engineering | TECHNOLOGY & ENGINEERING / BiomedicalAdditional physical formats: Print version:: No titleDDC classification: 617.7350754 Online resources: Click here to access online Also available in print.
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 / S�ilvia R�ego, 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.
Abstract: This book covers the state-of-the-art techniques of fundus imaging for the diagnosis of retinal diseases.
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"Version: 20221201"--Title page verso.

Includes bibliographical references.

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 / S�ilvia R�ego, 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.

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

Biomedical and optical imaging specialists and ophthalmologists.

Also available in print.

Mode of access: World Wide Web.

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

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.

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

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