PROJECT
[Master's Thesis]Counting Cells from Microscopy Images Using Convolutional Neural Networks
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Develop a Convolutional Neural Network approach to count cells from microscopy images.​
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Output of project is a CNN model that takes N training images as input and predicts the number of cells for a test image with accuracy Pearson correlation more than X (N = 1000~5000, X = 0.9 in this case)
Participated in CodeBrew Hackathon (Sep 26-27, 2015) with a team of five
Won First Prize($1000) based on application VELP built in 24 hours
VELP is an android application aim to help people donate and volunteer for refugee
Relative code can be view here, Presentation Slides is here
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Working on myTime application with a team of four.
Based on Java.
Relative code will be posted later.
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Worked on BetterTrip webpage with a team of four.
Based on Python Django, Html, CSS, JavaScript.
Some source code can be look at here
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Working on QuitSmoking application with a team of five.
Based on Swift, Objective-C.
Some code can be look at here.
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Worked on Pairwise Relationship Prediction project with a team of three.
Based on Matlab, Python.
Some code can be look at here.
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Worked on Online Folder Backup project.
Based on Java.
Results can be look at here.
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Worked on Weather Prediction project.
Based on Weka.
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Worked on Approximate Matching project.
Based on Weka, Python.
Some code can be look at here.
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