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Mashup Score: 0Global Update on CXL - 1 year(s) ago
Current status and developments on the horizon in different areas around the world.
Source: CRSTodayCategories: Latest Headlines, OphthalmologyTweet
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Mashup Score: 0
A study sought to implement and test a trained deep learning algorithm using pre-operative corneal topography scans in order to classify between keratoconus and normal corneas, stage the disease, and predict whether a patient will be likely to benefit from CXL treatment.
Source: Ophthalmology TimesCategories: Latest Headlines, OphthalmologyTweet
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Mashup Score: 2
A study sought to implement and test a trained deep learning algorithm using pre-operative corneal topography scans in order to classify between keratoconus and normal corneas, stage the disease, and predict whether a patient will be likely to benefit from CXL treatment.
Source: Ophthalmology TimesCategories: Latest Headlines, OphthalmologyTweet
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Mashup Score: 3
A study sought to implement and test a trained deep learning algorithm using pre-operative corneal topography scans in order to classify between keratoconus and normal corneas, stage the disease, and predict whether a patient will be likely to benefit from CXL treatment.
Source: Ophthalmology TimesCategories: Latest Headlines, OphthalmologyTweet
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Mashup Score: 1
A study sought to implement and test a trained deep learning algorithm using pre-operative corneal topography scans in order to classify between keratoconus and normal corneas, stage the disease, and predict whether a patient will be likely to benefit from CXL treatment.
Source: Ophthalmology TimesCategories: Latest Headlines, OphthalmologyTweet
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Mashup Score: 2
A study sought to implement and test a trained deep learning algorithm using pre-operative corneal topography scans in order to classify between keratoconus and normal corneas, stage the disease, and predict whether a patient will be likely to benefit from CXL treatment.
Source: Ophthalmology TimesCategories: Latest Headlines, OphthalmologyTweet
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Mashup Score: 4
A study sought to implement and test a trained deep learning algorithm using pre-operative corneal topography scans in order to classify between keratoconus and normal corneas, stage the disease, and predict whether a patient will be likely to benefit from CXL treatment.
Source: Ophthalmology TimesCategories: Latest Headlines, OphthalmologyTweet
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Mashup Score: 1
A study sought to implement and test a trained deep learning algorithm using pre-operative corneal topography scans in order to classify between keratoconus and normal corneas, stage the disease, and predict whether a patient will be likely to benefit from CXL treatment.
Source: Ophthalmology TimesCategories: Latest Headlines, OphthalmologyTweet
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Mashup Score: 0Solutions for Complex Corneas - Eyetube - 2 year(s) ago
The April issue of CRST dives into the new and innovative treatment approaches available for patients with complex corneas. Joining moderator Dagny Zhu, MD, to discuss their articles featured in the issue are Nandini Venkateswaran, MD, and Caroline…
Source: EyetubeCategories: Latest Headlines, OphthalmologyTweet
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Mashup Score: 6
A study sought to implement and test a trained deep learning algorithm using pre-operative corneal topography scans in order to classify between keratoconus and normal corneas, stage the disease, and predict whether a patient will be likely to benefit from CXL treatment.
Source: Ophthalmology TimesCategories: Latest Headlines, OphthalmologyTweet
A Global Update on #CXL: Review the current status and developments on the horizon in different areas around the world. https://t.co/2Pn91N1TiJ https://t.co/5kTFbqgocP