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DRDUCV-case study

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投稿日: 約1年前

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The main objective of this method is to detect DR(Diabetic Retinopathy) eye disease using Image Processing techniques. Automating the process using Convolutional neural networks to speed up blindness detection in patients before its too late. Eye retina images contain artifacts, some of them are out of focus, underexposed, or overexposed etc. Also, some of the images have low brightness and low lightning conditions thus making it difficult to assess the difference between the images. First we do image preprocessing by applying Gaussian blur to bring out distinctive features in the images. In Gaussian Blur operation, the image is convolved with a Gaussian filter which is a low-pass filter that removes the high-frequency components . Then convert the RGB scale images to Gray scale images and circular cropping from gray scale images is used. After applying some image augmentation, model architecture is used. planning to use VGG-16
プロジェクト ID: 36280856

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7個の提案
リモートプロジェクト
アクティブ 1年前

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Full stack Developer expert in Wordpress development, Software development, Software architecture, HTML, CSS, JavaScript, Java, PHP, Python, Jquery, React, React Native, Vue.js, Selenium with Python Web Development and Web Design Ux Design Tool Sketch, InVision, Figma, Adobe Xd, FlowMapp, Balsamiq, Photoshop, illustrator,Storyboard Ui Design tool HTML, CSS, Bootstrap, js, jquery Programming Languages: Python, JavaScript, PHP, C, C++. Back-End Frameworks: Django, Flask, Express, Wordpress, Laravel, Node. Front-End Framework and Libraries: React, Vue, Angular, HTML, CSS,JavaScript. Cross-Platform Mobile Frameworks: React-Native, Flutter, Ionic. Databases: Postgresql, Mysql, MongoDB, Sql-Server, REST APIs, GraphQL
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メンバー登録日:3月 28, 2023

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