Photo acoustic and optical coherence tomography imaging. Volume 2, Fundus imaging for the retina /
edited by Ayman El-Baz, Jasjit S. Suri.
- 1 online resource (various pagings) : illustrations (some color).
- [IOP release $release] IOP ebooks. [2022 collection] .
- IOP (Series). Release 22. IOP ebooks. 2022 collection. .
"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.
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.
9780750320566 9780750320573
10.1088/978-0-7503-2056-6 doi
Eye--Blood-vessels--Radiography.
Eye--Tomography.
Optical coherence tomography.
Eye--blood supply.
Tomography, Optical Coherence.
Biomedical engineering.
TECHNOLOGY & ENGINEERING / Biomedical.
RE79.A5 / P567 2021eb vol. 2
617.7350754
WW 270 / P575 2021eb vol. 2
"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.
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.
9780750320566 9780750320573
10.1088/978-0-7503-2056-6 doi
Eye--Blood-vessels--Radiography.
Eye--Tomography.
Optical coherence tomography.
Eye--blood supply.
Tomography, Optical Coherence.
Biomedical engineering.
TECHNOLOGY & ENGINEERING / Biomedical.
RE79.A5 / P567 2021eb vol. 2
617.7350754
WW 270 / P575 2021eb vol. 2