Results 11 to 20 of about 171,170 (252)

Vessel identification in diabetic retinopathy [PDF]

Diabetic retinopathy is the single largest cause of sight loss and blindness in 18 to 65 year olds. Screening programs for the estimated one to six per- cent of the diabetic population have been demonstrated to be cost and sight saving, howeverthere are ...
Teng, Thomas Bart
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Imaging of the human fundus in the clinical setting:past present and future [PDF]

, 2013
The human fundus is a complex structure that can be easily visualized and the world of ophthalmology is going through a golden era of new and exciting fundus imaging techniques; recent advances in technology have allowed a significant improvement in the ...
Gibson, Jonathan, Calcagni, Antonio
core   +8 more sources

fundus-dataset.zip

, 2021
The dataset includes 26 different categories of 1500 true color fundus images in 24-bit RGB format retrieved from 8 open access databases, namely:- STARE – STructured Analysis of the Retina- DRIVE – Digital Retinal Images for Vessel Extraction- Messidor (
Rimsha Saeed (11661931)
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Accurate and reliable segmentation of the optic disc in digital fundus images [PDF]

, 2014
We describe a complete pipeline for the detection and accurate automatic segmentation of the optic disc in digital fundus images. This procedure provides separation of vascular information and accurate inpainting of vessel-removed images, symmetry-based ...
Giachetti, Andrea, Emanuele Trucco, Trucco, Emanuele; id_orcid, Lucia Ballerini, Ballerini, Lucia   +4 more
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Towards non-vascular fundus image analysis and disease detection [PDF]

, 2023
Assessment of retinal fundus image is very informative and preventive in early ocular disease detection. This non-invasive assessment of fundus images also helps in the early diagnosis of vascular diseases.
Motevali, Saeid
core   +1 more source

Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs. [PDF]

, 2010
Contains fulltext : 89373.pdf (Publisher’s version ) (Open Access)The detection of microaneurysms in digital color fundus photographs is a critical first step in automated screening for diabetic retinopathy (DR), a common complication ...
Li, Q., Hiroshi Fujita, Karray, F., Mizutani, A, Hatanaka, Y, Abramoff, Michael D., Jane You, Roberto Hornero Member, Chisako Muramatsu, Quellec, G., Cochener, B, Cazuguel, G., Atsushi Mizutani, Hornero, R., Roux, Christian, van Ginneken, Bram, Cazuguel, Guy, You, Jane, Cochener, Beatrice, Quellec, Gwenole, Van Ginneken, B, Muramatsu, C., Lamard, M., Michael D. Abràmoff, Karray, Fakhri, Bob Zhang, Niemeijer, M., Fujita, H, Hatanaka, Y., Garc?a, M, Abramoff, M.D., Michael J. Cree Senior Member, Wu, X., S?nchez, CI, Roux, C., Quellec, G, Mizutani, A., Hatanaka, Yuji, Lamard, M, Hornero, Roberto, Niemeijer, M, Mayo, Augustin, Yuji Hatanaka, Christian Roux, Sanchez, Clara I., Hornero, R, You, J, Mayo, Agustin, Li, Qin, Zhang, Bob, Garcia, M., Fakhri Karray, Fujita, H., Cree, M.J., Lamard, Mathieu, Wu, Xiangqian, Zhang, B., García, María, Clara I. Sánchez Member, Sanchez, C.I., Fujita, Hiroshi, Niemeijer, Meindert, Guy Cazuguel Member, Meindert Niemeijer, Senior Member, Abr?moff, MD, Roux, C, Karray, F, Wu, Q, Mayo, A, Mathieu Lamard, Mayo, A., Mizutani, Atsushi, Bram Van Ginneken, Muramatsu, C, Muramatsu, Chisako, You, J., Cree, MJ, Cochener, B., Qin Li, Zhang, B, Xiangqian Wu, Student Member, Ginneken, B. van, Cazuguel, G, Cree, Michael J., Li, Q   +86 more
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Artificial intelligence to identify retinal fundus images, quality validation, laterality evaluation, macular degeneration, and suspected glaucoma [PDF]

, 2020
Purpose: To assess the performance of deep learning algorithms for different tasks in retinal fundus images: (1) detection of retinal fundus images versus optical coherence tomography (OCT) or other images, (2) evaluation of good quality retinal fundus ...
Zapata Victori, Miguel Ángel, Ayguadé Parra, Eduard, Royo Fibla, Dídac, Vela Segarra, José Ignacio, Cortés García, Claudio Ulises, Font, Octavi, Garcia Gasulla, Dario, Labarta Mancho, Jesús José, Marcantonio Santa Cruz, Ivanna Andrea, Sánchez Pérez, Abraham, Moya Sánchez, Eduardo Ulises   +10 more
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Retinal microvasculature and incident dementia over 10 years: The Three‐City‐Alienor cohort

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023
Introduction We explored the longitudinal relationship between retinal vascular features and dementia incidence over 10 years. Methods Among 584 participants from the Three‐City‐Alienor (3C‐Alienor) population‐based cohort, quantitative retinal vascular ...
Sara Cristina Lima Rebouças, Audrey Cougnard‐Gregoire, Louis Arnould, Marie‐Noëlle Delyfer, Cédric Schweitzer, Jean‐François Korobelnik, Alexandra Foubert‐Samier, Carol Y. Cheung, Tien Y. Wong, Cécile Delcourt, Catherine Helmer   +10 more
doaj   +1 more source

Comparative study between fundus fluorescein angiography and optical coherence tomography angiography in evaluation of diabetic maculopathy

Delta Journal of Ophthalmology, 2023
Background Diabetic maculopathy is a serious consequence of diabetic retinopathy (DR) that greatly affects the visual acuity. Diabetic macular edema (DME) and diabetic macular ischemia (DMI) are major causes of vision affection in diabetic patients ...
Marwa A Zaky, Walaa R Hamed, Hatem M Marey, Esraa S El Ghoubashy   +3 more
doaj   +1 more source

Fundus retinal image analyses for screening and diagnosing diabetic retinopathy, macular edema, and glaucoma disorders

, 2020
This chapter shadows light over the fundamental imaging techniques used in the field of ophthalmology; namely fundus retinal imaging. Since it is a noninvasive way of imaging the retina, the method is popular among the ophthalmic community and the ...
Chalakkal, Renoh, Renoh Johnson Chalakkal, Hong, SC, Waleed Habib Abdulla, Sheng Chiong Hong, Abdulla, Waleed   +5 more
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