Systems and methods for automated interest region detection in retinal images
AssigneeEyenuk, Inc.
InventorsKaushal Mohanlal Solanki, Chaithanya Amai Ramachandra, Sandeep Bhat Krupakar
Life of this patent
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Abstract
Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.
Claims30
A computing system for automated detection of active pixels in retinal images, the computing system comprising:
- one or more hardware computer processors;
- and
- one or more storage devices configured to store software instructions configured for execution by the one or more hardware computer processors in order to cause the computing system to:
- access a retinal image;
- generate a first median normalized image using the retinal image with a median computed over a first geometric shape of a first size;
- generate a second median normalized image using the retinal image with a median computed over the first geometric shape of a second size, the second size different from the first size;
- automatically generate a difference image by computing a difference between the first median normalized image and the second median normalized image;
- generate a binary image by computing a hysteresis threshold of the difference image using at least two thresholds to detect dark and bright structures in the difference image;
- and
- store the binary image in a memory of the computing system.
A computer-implemented method for automated detection of active pixels in retinal images, the method comprising:
- as implemented by one or more computing devices configured with specific executable instructions:
- accessing a retinal image;
- generating a first median normalized image using the retinal image with a median computed over a first geometric shape of a first size;
- generating a second median normalized image using the retinal image with a median computed over the first geometric shape of a second size, the second size different from the first size;
- automatically generating a difference image by computing a difference between the first median normalized image and the second median normalized image;
- generating a binary image by computing a hysteresis threshold of the difference image using at least two thresholds to detect dark and bright structures in the difference image;
- and
- storing the binary image in a memory.
Non-transitory computer storage that stores executable program instructions that, when executed by one or more computing devices, configure the one or more computing devices to perform operations comprising:
- accessing a retinal image;
- generating a first median normalized image using the retinal image with a median computed over a first geometric shape of a first size;
- generating a second median normalized image using the retinal image with a median computed over the first geometric shape of a second size, the second size different from the first size;
- automatically generating a difference image by computing a difference between the first median normalized image and the second median normalized image;
- generating a binary image by computing a hysteresis threshold of the difference image using at least two thresholds to detect dark and bright structures in the difference image;
- and
- storing the binary image in a memory.
Dependencies are inferred from the claim text.