Nec corporation (20240161294). 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 20240161294 titled 'Image Processing Device, Image Processing Method, and Storage Medium
Simplified Explanation
The image processing device includes acquisition, variation detection, selection, and lesion detection means. The device acquires endoscopic images, detects variations between the images, selects a model based on the degree of variation, and detects lesions using the selected model.
- Acquisition means: Obtains endoscopic images by photographing an examination target.
- Variation detection means: Identifies differences between the endoscopic images.
- Selection means: Chooses a model (first or second) based on the degree of variation.
- Lesion detection means: Detects lesions using the selected model.
Potential Applications
This technology can be used in medical settings for more accurate and efficient detection of lesions during endoscopic examinations.
Problems Solved
1. Improved lesion detection accuracy. 2. Streamlined endoscopic examination process.
Benefits
1. Enhanced diagnostic capabilities. 2. Reduction in missed lesions. 3. Increased efficiency in lesion detection.
Potential Commercial Applications
Enhancing medical imaging devices for better lesion detection in endoscopic procedures.
Possible Prior Art
Similar technologies may exist in the field of medical imaging for lesion detection during endoscopic examinations.
Unanswered Questions
How does this technology compare to existing methods of lesion detection in endoscopic imaging?
This article does not provide a direct comparison with other methods of lesion detection in endoscopic imaging.
What are the specific parameters used to determine the degree of variation between endoscopic images?
The article does not delve into the specific parameters or algorithms used to calculate the degree of variation between images.
Original Abstract Submitted
the image processing device x includes an acquisition means x, a variation detection means x, a selection 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 variation detection means x detects a degree of variation between the endoscopic images. the selection means x selects either one of a first model or a second model based on the degree of variation, the first model making an inference regarding a lesion of the examination target based on a predetermined number of the endoscopic images, the second model making an inference regarding the lesion based on a variable number of the endoscopic images. the lesion detection means x detects the lesion based on a selection model that is either the first model or the second model selected.
