20240055102. IMAGE CLASSIFICATION METHOD, IN PARTICULAR MEDICAL IMAGES, FOR EXAMPLE RADIOGRAPHIC IMAGES simplified abstract (INOVA BIOMEDICAL TECHNOLOGY S.R.L.)
Contents
IMAGE CLASSIFICATION METHOD, IN PARTICULAR MEDICAL IMAGES, FOR EXAMPLE RADIOGRAPHIC IMAGES
Organization Name
INOVA BIOMEDICAL TECHNOLOGY S.R.L.
Inventor(s)
Sabrina Conoci of Tremestieri Etnco (CT) (IT)
Francesco Traina of Ferrara (IT)
IMAGE CLASSIFICATION METHOD, IN PARTICULAR MEDICAL IMAGES, FOR EXAMPLE RADIOGRAPHIC IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240055102 titled 'IMAGE CLASSIFICATION METHOD, IN PARTICULAR MEDICAL IMAGES, FOR EXAMPLE RADIOGRAPHIC IMAGES
Simplified Explanation
The patent application describes a method for classifying medical images, such as radiographic images, to determine whether a sub-image containing a region of interest (ROI) with a portion of a limb and a prosthesis inserted into the same limb belongs to a first class of images with a probability p1 or to a second class of images with a probability p2.
- Classification process for medical images, specifically radiographic images
- Identifying sub-images with a region of interest (ROI) showing a limb and a prosthesis
- Determining if the sub-image belongs to a first class (c1) or a second class (c2) based on probabilities
- Analyzing the visibility of the limb and prosthesis in the sub-image
Potential Applications
- Medical image analysis and classification
- Prosthesis evaluation and monitoring
- Automated detection of limb abnormalities
Problems Solved
- Efficient classification of medical images
- Identification of limbs and prostheses in radiographic images
- Streamlining the analysis process for healthcare professionals
Benefits
- Improved accuracy in classifying medical images
- Time-saving for healthcare providers
- Enhanced monitoring of prosthetic devices
Original Abstract Submitted
an image classification method, in particular medical images, for example radiographic images, wherein a sub-image rwhich contains, for example, a region of interest (roi) in which a portion of limb and a prosthesis inserted into the same limb are visible is subjected to a classification process designed to define whether the sub-image rbelongs to a first class c1 of images with a respective first probability p1 or to a second class of images c2 with a respective probability p2.
