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6.9.5 Other (72)
Showing records 1 to 25
Display all abstracts in classification 6.9.5 Other
Search within classification 6.9.5 Other86283 Discriminating glaucomatous and compressive optic neuropathy on spectral-domain optical coherence tomography with deep learning classifier
Lee J
British Journal of Ophthalmology 2020; 104: 1717-1723
86168 Diagnosing Glaucoma With Spectral-Domain Optical Coherence Tomography Using Deep Learning Classifier
Lee J
Journal of Glaucoma 2020; 29: 287-294
86265 Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model
Lee J
Scientific reports 2020; 10: 3280
86622 Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems
Yang HK
American Journal of Ophthalmology 2020; 216: 140-146
86712 Machine learning applied to retinal image processing for glaucoma detection: review and perspective
Barros DMS
Biomedical engineering online 2020; 19: 20
86466 Data on OCT and fundus images for the detection of glaucoma
Raja H
Data in brief 2020; 29: 105342
86165 Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans
Thompson AC
JAMA ophthalmology 2020; 138: 333-339
86751 A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells)
Normando EM
Expert review of molecular diagnostics 2020; 20: 737-748
86495 Optic Disc and Cup Image Segmentation Utilizing Contour-Based Transformation and Sequence Labeling Networks
Xie Z
Journal of Medical Systems 2020; 44: 96
86851 Artificial Intelligence for Cataract Detection and Management
Goh JHL
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2020; 9: 88-95
86850 Artificial Intelligence in Ophthalmology: Evolutions in Asia
Ruamviboonsuk P
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2020; 9: 78-84
86751 A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells)
Yap TE
Expert review of molecular diagnostics 2020; 20: 737-748
86495 Optic Disc and Cup Image Segmentation Utilizing Contour-Based Transformation and Sequence Labeling Networks
Ling T
Journal of Medical Systems 2020; 44: 96
86622 Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems
Kim YJ
American Journal of Ophthalmology 2020; 216: 140-146
86165 Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans
Jammal AA
JAMA ophthalmology 2020; 138: 333-339
86851 Artificial Intelligence for Cataract Detection and Management
Lim ZW
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2020; 9: 88-95
86712 Machine learning applied to retinal image processing for glaucoma detection: review and perspective
Moura JCC
Biomedical engineering online 2020; 19: 20
86466 Data on OCT and fundus images for the detection of glaucoma
Akram MU
Data in brief 2020; 29: 105342
86283 Discriminating glaucomatous and compressive optic neuropathy on spectral-domain optical coherence tomography with deep learning classifier
Kim JS
British Journal of Ophthalmology 2020; 104: 1717-1723
86168 Diagnosing Glaucoma With Spectral-Domain Optical Coherence Tomography Using Deep Learning Classifier
Kim YK
Journal of Glaucoma 2020; 29: 287-294
86850 Artificial Intelligence in Ophthalmology: Evolutions in Asia
Cheung CY
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2020; 9: 78-84
86265 Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model
Kim YK
Scientific reports 2020; 10: 3280
86165 Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans
Berchuck SI
JAMA ophthalmology 2020; 138: 333-339
86712 Machine learning applied to retinal image processing for glaucoma detection: review and perspective
Freire CR
Biomedical engineering online 2020; 19: 20
86466 Data on OCT and fundus images for the detection of glaucoma
Khawaja SG
Data in brief 2020; 29: 105342
