SYSTEMS AND METHODS FOR DETECTING ABNORMALITIES IN PET RADIOLOGY IMAGES
개요
발명자
Michael FITZKE
IPC 분류
CPC 분류
In one embodiment, a method comprising accessing radiographic images of an animal, wherein one or more first radiographic images of the radiographic images depict the animal from one or more views, respectively, and wherein one or more second radiographic images of the radiographic images depict one or more body parts of the animal, respectively, determining disease classifications associated with the animal based on analyzing the radiographic images by a machine learning model, generating a diagnostic report associated with the animal based on the machine learning model, wherein the diagnostic report includes the disease classifications and a natural-language textual radiology report, and sending instructions for presenting the diagnostic report to a user device.
원문 (중국어)
In one embodiment, a method comprising accessing radiographic images of an animal, wherein one or more first radiographic images of the radiographic images depict the animal from one or more views, respectively, and wherein one or more second radiographic images of the radiographic images depict one or more body parts of the animal, respectively, determining disease classifications associated with the animal based on analyzing the radiographic images by a machine learning model, generating a diagnostic report associated with the animal based on the machine learning model, wherein the diagnostic report includes the disease classifications and a natural-language textual radiology report, and sending instructions for presenting the diagnostic report to a user device.