Stryker Corporation (20240346632). MEDICAL IMAGING simplified abstract
Contents
MEDICAL IMAGING
Organization Name
Inventor(s)
Lina Gurevich of Vancouver (CA)
MEDICAL IMAGING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346632 titled 'MEDICAL IMAGING
The present disclosure pertains to enhancing medical images, such as those captured in low-light conditions, using machine-learning techniques. An exemplary method for improving an endoscopic image of a subject involves providing the image to a generator of a trained generative adversarial network (GAN) model, which has been trained using sets of non-endoscopic white light images at different light levels. The enhanced endoscopic image is then obtained from the generator.
- Utilizes machine-learning techniques to enhance medical images, specifically endoscopic images.
- Trained generative adversarial network (GAN) model with sets of non-endoscopic white light images at different light levels.
- Enhances endoscopic images captured in low-light conditions.
- Improves the quality and clarity of medical images for better diagnosis and treatment.
- Incorporates advanced technology to enhance medical imaging processes.
Potential Applications: - Medical imaging technology - Endoscopic procedures - Diagnostic imaging in healthcare settings
Problems Solved: - Enhancing image quality in low-light conditions - Improving visibility and clarity of medical images - Enhancing diagnostic capabilities in medical imaging
Benefits: - Accurate and detailed medical imaging - Enhanced visualization for medical professionals - Improved diagnostic accuracy and treatment planning
Commercial Applications: Title: Advanced Medical Imaging Enhancement Technology This technology can be utilized in medical facilities, hospitals, and diagnostic centers to improve the quality of medical imaging for better patient care and treatment outcomes. It can also be integrated into medical devices and equipment for enhanced imaging capabilities.
Questions about Medical Imaging Enhancement Technology: 1. How does this technology impact the accuracy of medical diagnoses? - This technology improves the clarity and quality of medical images, leading to more accurate diagnoses and treatment planning. 2. What are the potential cost-saving benefits of implementing this technology in healthcare settings? - By enhancing medical imaging quality, this technology can potentially reduce the need for repeat imaging studies, leading to cost savings for healthcare providers and patients.
Original Abstract Submitted
the present disclosure relates generally to medical imaging, and more specifically to enhancing medical images (e.g., images taken in low-light conditions) using machine-learning techniques. an exemplary method for obtaining an enhanced endoscopic image of a subject comprises receiving an endoscopic image of the subject; providing the endoscopic image to a generator of a trained generative adversarial network (gan) model trained using a first set of non-endoscopic white light images associated with a first light level and a second set of non-endoscopic white light images associated with a second light level, the second light level higher than the first light level; and obtaining, from the generator, the enhanced endoscopic image.
