18539098. SYSTEMS AND METHODS FOR LOW-LIGHT IMAGE ENHANCEMENT simplified abstract (Stryker Corporation)
Contents
SYSTEMS AND METHODS FOR LOW-LIGHT IMAGE ENHANCEMENT
Organization Name
Inventor(s)
Lina Gurevich of Vancouver (CA)
SYSTEMS AND METHODS FOR LOW-LIGHT IMAGE ENHANCEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18539098 titled 'SYSTEMS AND METHODS FOR LOW-LIGHT IMAGE ENHANCEMENT
The abstract describes a method of enhancing medical images using a computing system. This method involves receiving a medical image, converting it into a brightness component image and two color component images, generating a reflectance image from the brightness component image using a machine learning model, and then creating an enhanced medical image based on the reflectance image.
- The method involves converting a medical image into different components to enhance its quality.
- A reflectance image is generated using a machine learning model to improve the visual representation of the medical image.
- The enhanced medical image is created based on the reflectance image, resulting in a more detailed and accurate representation of the original medical image.
Potential Applications: - This technology can be used in medical imaging to improve the quality and accuracy of diagnostic images. - It can be applied in various medical fields such as radiology, pathology, and dermatology to enhance image analysis and interpretation.
Problems Solved: - Enhances the quality and clarity of medical images for better diagnosis and treatment planning. - Helps medical professionals in accurately interpreting and analyzing complex medical images.
Benefits: - Improved visualization of medical images for more accurate diagnosis. - Enhanced image quality leads to better patient outcomes and treatment decisions.
Commercial Applications: Title: Advanced Medical Image Enhancement Technology for Improved Diagnosis This technology can be utilized by medical imaging companies, hospitals, and research institutions to enhance the quality of medical images, leading to more accurate diagnoses and treatment plans. The market implications include improved patient care, increased efficiency in medical imaging processes, and potential cost savings for healthcare providers.
Questions about Medical Image Enhancement Technology: 1. How does this technology improve the accuracy of medical image interpretation? 2. What are the potential cost-saving benefits for healthcare providers with the implementation of this technology?
Original Abstract Submitted
A method of enhancing medical images includes, at a computing system: receiving a medical image; converting the medical image into a brightness component image and two color component images; generating a reflectance image from the brightness component image using a machine learning model; and generating an enhanced medical image based on the reflectance image.
