WELCOME TO AN AUTOMATED IMAGE ANALYSIS FRAMEWORK FOR CLASSIFICATION OF DIABETIC RETINOPATHY

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November 3rd Week Progress

In this week’s meetings, the team investigated a new method for generating the clearest image for blood vessel detection. The new method...

November Second Week Updates

During this past week, the team worked on apply the regionprops MATLAB function on the retinal images to analyze the image’s area and...

November Week 1 Summary

During this week’s meetings, the team was invested in improving the local and global thresholding for blood vessel detection. Here are...

Week 8 Progress Update

During the past week, we continued working on the blood vessel detection coding. Through further investigation of our code, we realized...

Seventh Week Progress Update

Following last week's literature review, we discovered that in blood vessel detection, the green channel is the channel that should be...

Week 6 Summary

Throughout this week, the team reinvestigated a research article we studied in the past weeks, “A novel method for blood vessel detection...

5th week Updates

During this week, we concluded our algorithm for the field detection. We tested our code using the images in the DRIVE database to see...

Week 4 Update

During the previous week, our team continued to work on the algorithm for blood vessel detection, and we continued to try to reproduce...

Week 3 Report

This past week the group completed some Literature review of an article titled, "A novel method for blood vessel detection from retinal...

Second Week Summary

In this past week, we used the knowledge we gained from Dr. Wang in trying to identify the stages of retinopathy. Throughout the week, we...

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