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US 12,749,184 B2Granted
Method and system for detection of retinal hemorrhages using head computed tomography
OwnerNadeem Shafi, Fatma Gunturkun +1inventors
InventorsNadeem Shafi, Fatma Gunturkun, Berna Bakir Batu
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Abstract
A method and system for detection of retinal hemorrhages using head computed tomography incorporating deep learning includes obtaining a patient head computed tomography image, segmenting globes using a deep-learning model, rotating the scans using the angle between globes, cropping and masking the globes, and stacking the globes to form 3D individual images that are analyzed for presence of retinal hemorrhage.
Claims7
A method for detecting retinal hemorrhage based on deep learning, comprising:
- acquiring an axial series of images from a computed tomography scan (CT scans) of a patient's head;
- identifying and segmenting the patient's ocular globes using a deep-learning model in each axial image;
- rotating each axial image using an angle between the segmented globes;
- extracting a subgroup of segmented globes by cropping and masking the segmented globes;
- stacking the extracted subgroup of segmented globes to form an individual three-dimensional segmented globe image for each patient eye;
- and
- assessing the three-dimensional segmented globe image for each eye for abnormalities indicative of retinal hemorrhage.
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