Imaging in Ophthalmology—Volume I
Ophthalmic imaging tools currently play a fundamental role in the clinical assessment, diagnosis, management, and monitoring of a wide variety of conditions, involving both the anterior and posterior segment. The introduction and developments of imaging technologies, including anterior and posterior...
Αποθηκεύτηκε σε:
| Μορφή: | Online |
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| Γλώσσα: | Αγγλικά |
| Έκδοση: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Θέματα: | |
| Διαθέσιμο Online: | ONIX_20240704_9783725807857_172 |
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| _version_ | 1869515395928424448 |
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| collection | Directory of Open Access Books |
| description | Ophthalmic imaging tools currently play a fundamental role in the clinical assessment, diagnosis, management, and monitoring of a wide variety of conditions, involving both the anterior and posterior segment. The introduction and developments of imaging technologies, including anterior and posterior segment optical coherence tomography (OCT), OCT angiography, retinal photography, specular and confocal microscopy, corneal topography, and ocular ultrasound, has dramatically improved the morphological and functional evaluations of ocular structures. Moreover, multimodal imaging has led to the successful identification of biomarkers and predictors for high-incidence ocular and neurological disorders. Recently, the application of artificial intelligence (AI) and deep learning in ophthalmology has received growing amounts of interest among researches, due to the promising results in terms of the accuracy and sensitivity of the detection of common eye diseases, such as age-related macular degeneration, diabetic retinopathy, and glaucoma, highlighting the potential of these methods to serve as crucial tools in the screening, diagnosis, long-term follow-up, and prediction of disease progression. This Special Issue includes original studies and reviews regarding the principles, clinical and intraoperative applications, updates, and potential future advances of the ophthalmic imaging tools/methods, applications, and potential developments of artificial intelligence and deep learning, in both anterior and posterior segments. |
| format | Online |
| id | doab-20.500.12854ir-139376 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1393762024-07-04T09:47:53Z Imaging in Ophthalmology—Volume I Romano, Vito Zheng, Yalin Ferrara, Mariantonia anterior segment imaging artificial intelligence glaucoma imaging multimodal imaging ophthalmic imaging optical coherence tomography posterior segment imaging retinal biomarkers thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJQ Ophthalmology Ophthalmic imaging tools currently play a fundamental role in the clinical assessment, diagnosis, management, and monitoring of a wide variety of conditions, involving both the anterior and posterior segment. The introduction and developments of imaging technologies, including anterior and posterior segment optical coherence tomography (OCT), OCT angiography, retinal photography, specular and confocal microscopy, corneal topography, and ocular ultrasound, has dramatically improved the morphological and functional evaluations of ocular structures. Moreover, multimodal imaging has led to the successful identification of biomarkers and predictors for high-incidence ocular and neurological disorders. Recently, the application of artificial intelligence (AI) and deep learning in ophthalmology has received growing amounts of interest among researches, due to the promising results in terms of the accuracy and sensitivity of the detection of common eye diseases, such as age-related macular degeneration, diabetic retinopathy, and glaucoma, highlighting the potential of these methods to serve as crucial tools in the screening, diagnosis, long-term follow-up, and prediction of disease progression. This Special Issue includes original studies and reviews regarding the principles, clinical and intraoperative applications, updates, and potential future advances of the ophthalmic imaging tools/methods, applications, and potential developments of artificial intelligence and deep learning, in both anterior and posterior segments. 2024-07-04T09:47:48Z 2024-07-04T09:47:48Z 2024 book ONIX_20240704_9783725807857_172 9783725807857 9783725807864 https://directory.doabooks.org/handle/20.500.12854/139376 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9374 https://mdpi.com/books/pdfview/book/9374 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0786-4 10.3390/books978-3-7258-0786-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725807857 9783725807864 354 open access |
| spellingShingle | anterior segment imaging artificial intelligence glaucoma imaging multimodal imaging ophthalmic imaging optical coherence tomography posterior segment imaging retinal biomarkers thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJQ Ophthalmology Imaging in Ophthalmology—Volume I |
| title | Imaging in Ophthalmology—Volume I |
| title_full | Imaging in Ophthalmology—Volume I |
| title_fullStr | Imaging in Ophthalmology—Volume I |
| title_full_unstemmed | Imaging in Ophthalmology—Volume I |
| title_short | Imaging in Ophthalmology—Volume I |
| title_sort | imaging in ophthalmology volume i |
| topic | anterior segment imaging artificial intelligence glaucoma imaging multimodal imaging ophthalmic imaging optical coherence tomography posterior segment imaging retinal biomarkers thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJQ Ophthalmology |
| topic_facet | anterior segment imaging artificial intelligence glaucoma imaging multimodal imaging ophthalmic imaging optical coherence tomography posterior segment imaging retinal biomarkers thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJQ Ophthalmology |
| url | ONIX_20240704_9783725807857_172 |