System and method of otoscopy image analysis to diagnose ear pathology
AssigneeOhio State Innovation Foundation
InventorsCaglar SENARAS, Aaron Christopher MOBERLY, Theodoros TEKNOS, Garth Fredric ESSIG, JR., Charles Albert ELMARAGHY, Nazhat Fatima TAJ-SCHAAL, Lianbo YU, Metin Nafi GURCAN
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Abstract
Disclosed herein are systems and methods to detect a wide range of eardrum abnormalities by using high-resolution otoscope images and report the condition of the eardrum as “normal” or “abnormal.”
Claims22
-42. (canceled)
A method of classifying tympanic membrane pathologies, comprising:
- performing preprocessing on a plurality of images of a tympanic membrane to produce one or more composite images, wherein regions of interest are selected from each of the plurality of images or a subset of the plurality of images and the selected regions of interest are used to form the one or more composite images;
- extracting computer vision features (CVF) and clinically motivated eardrum features (CMEF) from the one or more composite images;
- and
- classifying pathologies of the tympanic membrane using the CVF and CMEF information.
A system for classifying tympanic membrane pathologies, comprising:
- a memory;
- and
- a processor in communication with the memory, wherein the memory contains computer-executable instructions that hen executed by the processor cause the processor to:
- perform preprocessing on a plurality of images of a tympanic membrane to produce one or more composite images, wherein regions of interest are selected from each of the plurality of images or a subset of the plurality of images and the selected regions of interest are used to form the one or more composite images;
- extract computer vision features (CVF) and clinically motivated eardrum features (CMEF) from the one or more composite images;
- and
- classify pathologies of the tympanic membrane using the CVF and CMEF information.
A computer program product with computer-executable instructions stored thereon, wherein the computer-executable instructions when executed by a computer perform a process of classifying tympanic membrane pathologies comprising:
- performing preprocessing on a plurality of images of a tympanic membrane to produce one or more composite images, wherein regions of interest are selected from each of the plurality of images or a subset of the plurality of images and the selected regions of interest are used to form the one or more composite images;
- extracting computer vision features (CVF) and clinically motivated eardrum features (CMEF) from the one or more composite images;
- and
- classifying pathologies of the tympanic membrane using the CVF and CMEF information.
Dependencies are inferred from the claim text.