Nec corporation (20240127443). IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract
Contents
- 1 IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Kazuhiro Watanabe of Tokyo (JP)
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127443 titled 'IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
Simplified Explanation
The image processing device includes an acquisition means and a lesion detection means. The acquisition means acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The lesion detection means detects a lesion based on a selection model selected from a first model and a second model, with the first model inferring a lesion based on a predetermined number of endoscopic images and the second model inferring a lesion based on a variable number of endoscopic images. Additionally, the lesion detection means changes a parameter for lesion detection based on a non-selection model, which is either the first model or the second model.
- Acquisition means acquires endoscopic images from an endoscope.
- Lesion detection means detects lesions using a selection model chosen from two different models.
- Lesion detection means adjusts parameters based on a non-selection model.
Potential Applications
This technology can be applied in medical fields for early detection of lesions or abnormalities during endoscopic examinations.
Problems Solved
This technology helps in improving the accuracy and efficiency of lesion detection during endoscopic procedures.
Benefits
The benefits of this technology include early detection of lesions, improved diagnostic accuracy, and potentially better patient outcomes.
Potential Commercial Applications
One potential commercial application of this technology is in the development of advanced endoscopic systems for medical institutions.
Possible Prior Art
Prior art may include existing image processing devices for lesion detection in endoscopic images.
Unanswered Questions
How does the device handle variations in endoscopic image quality?
The abstract does not mention how the device accounts for variations in image quality that may affect lesion detection accuracy.
What is the impact of using different selection models on the overall performance of lesion detection?
The abstract does not provide information on the comparative performance of the two selection models in terms of lesion detection accuracy and efficiency.
Original Abstract Submitted
the image processing device x includes an acquisition means x and a lesion detection means x. the acquisition means x acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. the lesion detection means x detects a lesion based on a selection model which is selected from a first model and a second model, the first model being configured to make an inference regarding a lesion of the examination target based on a predetermined number of endoscopic images, the second model being configured to make an inference regarding a lesion of the examination target based on a variable number of endoscopic images. besides, the lesion detection means x changes a parameter to be used for detection of the lesion based on a non-selection model that is the first model or the second model other than the selection model.
