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1.发明申请公开(公告)号：US20200178794A1
公开(公告)日：2020-06-11
申请号：US16620496
申请日：2018-06-20
发明人： Ayman El-Baz , Nabila Eldawi , Shlomit Schaal , Mohammed Elmogy , Harpal Sandu
摘要： Methods for automated segmentation system for retinal blood vessels from optical coherence tomography angiography images include a preprocessing stage, an initial segmentation stage, and a refining stage. Application of machine-learning techniques to segmented images allow for automated diagnosis of retinovascular diseases, such as diabetic retinopathy.
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公开(公告)号：US11534064B2
公开(公告)日：2022-12-27
申请号：US16620496
申请日：2018-06-20
发明人： Ayman El-Baz , Nabila Eldawi , Shlomit Schaal , Mohammed Elmogy , Harpal Sandhu , Robert S. Keynton , Ahmed Soliman
摘要： Methods for automated segmentation system for retinal blood vessels from optical coherence tomography angiography images include a preprocessing stage, an initial segmentation stage, and a refining stage. Application of machine-learning techniques to segmented images allow for automated diagnosis of retinovascular diseases, such as diabetic retinopathy.
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公开(公告)号：US11151717B2
公开(公告)日：2021-10-19
申请号：US16658420
申请日：2019-10-21
摘要： A non-invasive computer-aided diagnosis system generates a diagnosis of mild cognitive impairment, a disease state which often leads to the development of Alzheimer's disease. The system uses as inputs both functional positron emission tomography and structural magnetic resonance imaging data, reconstructs a model of the patient's cortex, uses machine-learning techniques to generate probabilities for mild cognitive impairments for local cortical regions, uses machine-learning techniques to fuse the local diagnoses to generate a global diagnosis based on each imaging modality, then uses machine-learning techniques to fuse the modality-specific global diagnoses to generate a final global diagnosis.
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