Nec corporation (20240127442). 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 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 20240127442 titled 'IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
Simplified Explanation
The image processing device includes acquisition means, variation detection means, selection means, and lesion detection means. The acquisition means acquires endoscopic images, the variation detection means detects variations between the images, the selection means chooses a model based on the degree of variation, and the lesion detection means detects lesions based on the selected model.
- Acquisition means: Obtains endoscopic images of an examination target.
- Variation detection means: Identifies differences between the endoscopic images.
- Selection means: Chooses between a first model and a second model 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 detection of lesions during endoscopic examinations.
Problems Solved
This technology helps in improving the accuracy of lesion detection by selecting the appropriate model based on the degree of variation in endoscopic images.
Benefits
The benefits of this technology include enhanced diagnostic capabilities, early detection of lesions, and improved patient outcomes.
Potential Commercial Applications
This technology can be utilized by medical device companies, healthcare providers, and research institutions for developing advanced endoscopic imaging systems.
Possible Prior Art
Prior art in this field may include existing image processing devices for medical applications, such as those used in endoscopy procedures.
Unanswered Questions
How does this technology compare to existing methods of lesion detection during endoscopic examinations?
This technology offers a more sophisticated approach by dynamically selecting a model based on the degree of variation in endoscopic images, potentially leading to improved accuracy in lesion detection.
What are the potential limitations or challenges associated with implementing this technology in clinical practice?
One potential challenge could be the need for validation studies to ensure the reliability and effectiveness of the selected models for lesion detection in different clinical scenarios.
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.
