Nec corporation (20240212142). IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract
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IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
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IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212142 titled 'IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
The image processing device includes acquisition means for accuracy indices and an inference means for lesion analysis. The device acquires a set value of a first index indicating accuracy for lesion analysis and predicted values of a second index for multiple models inferring lesion accuracy. The inference means analyzes lesions in endoscopic images based on the predicted values and models.
- Acquisition of accuracy indices for lesion analysis
- Prediction of accuracy indices for lesion analysis using multiple models
- Inference of lesions in endoscopic images based on predicted values and models
Potential Applications: - Medical imaging analysis - Endoscopic procedures - Lesion detection and diagnosis
Problems Solved: - Improving accuracy in lesion analysis - Enhancing diagnostic capabilities in endoscopic imaging
Benefits: - Increased precision in lesion detection - Improved decision-making in medical diagnosis - Enhanced efficiency in analyzing endoscopic images
Commercial Applications: Title: Advanced Medical Imaging Technology for Lesion Analysis This technology can be utilized in medical facilities, research institutions, and diagnostic centers to enhance lesion analysis accuracy, leading to better patient outcomes and streamlined medical procedures.
Questions about Image Processing Device: 1. How does the device acquire accuracy indices for lesion analysis? The device acquires accuracy indices through its first acquisition means, which captures a set value of a first index related to lesion analysis accuracy.
2. What is the role of the inference means in analyzing lesions in endoscopic images? The inference means uses the predicted values of the second index, obtained from multiple models, to make inferences about lesions in endoscopic images.
Original Abstract Submitted
the image processing device x includes a first acquisition means x, a second acquisition means x, and an inference means x. the first acquisition means x acquires a set value of a first index indicating an accuracy relating to a lesion analysis. the second acquisition means x acquires, for each of plural models which make inference regarding a lesion, a predicted value of a second index, which is an index of the accuracy other than the first index, on an assumption that the set value of the first index is satisfied. the inference means x makes inference regarding the lesion included in an endoscopic image of an examination target, based on the predicted value of the second index and the plural models.
