18544857. IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract (NEC Corporation)
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 18544857 titled 'IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
Simplified Explanation
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.
- Acquisition means X acquires endoscopic images taken by a photographing unit in an endoscope.
- Lesion detection means X uses a selection model to detect lesions based on a predetermined or variable number of endoscopic images.
- The device can switch between different models for lesion detection and adjust parameters accordingly.
Potential Applications
This technology can be used in medical settings 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 device can assist medical professionals in identifying lesions in patients, leading to timely diagnosis and treatment.
Potential Commercial Applications
This technology can be utilized by medical device companies to develop advanced image processing devices for endoscopic procedures.
Possible Prior Art
Prior art may include similar image processing devices used in the medical field for lesion detection during endoscopic examinations.
Unanswered Questions
How does the device handle different types of lesions or abnormalities?
The abstract does not specify how the device distinguishes between different types of lesions or abnormalities during the detection process.
What is the accuracy rate of lesion detection using this technology?
The abstract does not provide information on the accuracy rate of lesion detection achieved by the device.
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.
