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Correcting Flawed Photograph Effects in Captured Medical Images
Background:
Ultrasound and other medical imaging devices scan biological structures or tissues of a patient to aid in the diagnosis of serious illnesses such as cancer. Clarity and poor quality of scanned images due to conditions associated with the patient at time of image capture, or the skill of the technician capturing the scanned image can lead...
Published: 12/4/2024
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Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Diagnostics, Technology Classifications > Medical Imaging
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Correcting Image Distortion in Captured Medical Images
Background:
There are many instances where quick and easy interpretation of a medical images, such as an x-ray, CT scan, MRI or ultrasound is useful. In these instances, the digital transfer of medical images between systems, providers, or users is difficult and time consuming due to the lack of interoperability of software protocols between imaging...
Published: 12/4/2024
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Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging, Technology Classifications > Diagnostics
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Correcting Image Artifacts in Medical Images
Background:
Ultrasound and other medical imaging technologies remove noise from scanned images by combining the scanned images in an averaging process that reduces and/or eliminates noise inherent in an imaging session. An artifact of the averaging process is blurring effects introduced to the resulting image which diminish the chances of a correct...
Published: 12/4/2024
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Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Medical Imaging, Technology Classifications > Diagnostics, Technology Classifications > Healthcare & Life Sciences
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Suspicious Object Detection in Medical Images
Background:
Ultrasound and other medical imaging devices generate images by scanning biological structures and/or tissues of patients. These images aid in the diagnosis of serious illnesses such as cancer. Issues such poor quality and clarity of scanned images or conditions associated with the patient during scans or skill of the technician can...
Published: 12/4/2024
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Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Diagnostics, Technology Classifications > Medical Imaging, Technology Classifications > Healthcare & Life Sciences
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