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Gastric ulcer model evaluation method based on grey-scale image analysis

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TLDR
Wang et al. as discussed by the authors proposed a gastric ulcer model evaluation method based on grey-scale image analysis, which comprises three steps, which are image collection, image conversion, and data processing and ulcer index calculation.
Abstract
The invention discloses a gastric ulcer model evaluation method based on grey-scale image analysis The method comprises three steps, which are image collection, image conversion, and data processing and ulcer index calculation In the image collection step, a sample is placed in a dark box with a fixed volume and a fixed light source; and color (RPG) images are collected by shooting by using image collection tools such as a digital camera In the image conversion step, analysis software such as ImageJ is adopted, and the collected color images are subject to grey-scale image conversion, gastric mucosa region image selection and pixel statistics, and gastric ulcer region image selection and pixel statistics In the data processing and ulcer index calculation step, in units of pixel points, the percentage of the area of the gastric ulcer region in the mucous membrane gross area is calculated, and is adopted as the ulcer index for evaluating the gastric ulcer model With the method, rat/mice experimental gastric ulcer models can be accurately evaluated The method is also suitable for other image analysis and statistics with images as targets

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References
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Systems and methods for the measurement of surfaces

TL;DR: In this article, a portable, hand-held, non-contact surface measuring system comprising an image capturing element, at least four projectable reference elements positioned parallel to one another at known locations around the image capturing elements, a processing unit, and a user interface is presented.
Journal ArticleDOI

Evaluation of gastric ulcer model based on gray-scale image analysis

TL;DR: A grayscale image analysis method not only proves to be a more scientific approach to measure rat gastric ulcer area, but also provide a new method to evaluate drug efficacy to some extent.
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Cornea focus image cutting method based on K-mean cluster and information amalgamation

Shen Lansun, +1 more
TL;DR: In this paper, a corneal focus image segmentation method based on improved K-mean cluster and information interfusion was proposed, which is characterized by that it utilizes the colour degree information of external cornea focus image characteristics and the improved k-means cluster to implement primary segmentation of image.
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