US Patent Application 18038112. IMAGE FEATURE CLASSIFICATION simplified abstract
Contents
IMAGE FEATURE CLASSIFICATION
Organization Name
Inventor(s)
SA YUAN Liang of EINDHOVEN (NL)
IMAGE FEATURE CLASSIFICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18038112 titled 'IMAGE FEATURE CLASSIFICATION
Simplified Explanation
- The patent application describes a method and system for classifying image features in medical images using neural network-based learning algorithms. - The system uses a multi-phasic image to improve the accuracy of feature classification. - Different phases of the multi-phasic image are combined as training data for the neural network. - The invention aims to enhance the decision-making process for identifying features in medical images. - The use of neural networks and multi-phasic images can potentially improve the accuracy and reliability of feature classification in medical imaging.
Original Abstract Submitted
A method and system for image feature classification using a NN-based learning algorithms to make a decision about a feature in a medical image or image part. In particular, embodiments may make use of a phase of a multi-phasic image to improve classification accuracy. For instance, embodiments may combine different phases of multiphasic images as training data.
