18544757. IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract (NEC Corporation)

IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM

Organization Name

NEC Corporation

Inventor(s)

Kazuhiro Watanabe of Tokyo (JP)

Yuji Iwadate of Tokyo (JP)

Masahiro Saikou of Tokyo (JP)

Akinori Ebihara of Tokyo (JP)

Taiki Miyagawa 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 18544757 titled 'IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM

Simplified Explanation

The image processing device X described in the abstract includes various means for acquiring, detecting variations, selecting models, and detecting lesions in endoscopic images. The device can select between a first model and a second model based on the degree of variation detected, with each model making inferences regarding lesions based on different numbers of endoscopic images.

• Acquisition means X: Acquires endoscopic images taken by a photographing unit in an endoscope.
• Variation detection means X: Detects the degree of variation between endoscopic images.
• Selection means X: Selects either a first model or a second model based on the degree of variation.
• Lesion detection means X: Detects lesions based on 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 accuracy in lesion detection during endoscopic procedures. 2. Streamlined process for analyzing endoscopic images and making inferences regarding lesions.

Benefits

1. Enhanced diagnostic capabilities for healthcare professionals. 2. Reduction in human error during lesion detection. 3. Time-saving in lesion detection process.

Potential Commercial Applications

"Endoscopic Image Processing Device for Lesion Detection" can be utilized by medical device companies, hospitals, and healthcare facilities for improving the efficiency and accuracy of endoscopic examinations.

Possible Prior Art

One possible prior art could be the use of image processing algorithms in medical imaging devices for lesion detection.

What is the accuracy rate of lesion detection using this technology?

The accuracy rate of lesion detection using this technology will depend on various factors such as the quality of endoscopic images, the selected model (first or second), and the expertise of the healthcare professional using the device.

How does this technology compare to traditional methods of lesion detection in endoscopic images?

This technology offers a more systematic and automated approach to lesion detection in endoscopic images compared to traditional manual methods. It can potentially improve accuracy and efficiency in lesion detection processes.

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.