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Sanjoy Kumar Das's Projects

aws-codepipeline-s3-codedeploy-linux icon aws-codepipeline-s3-codedeploy-linux

Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html

cats icon cats

Asynchronous Return Values

covid-19-diagnosis-using-cnn icon covid-19-diagnosis-using-cnn

Machine learning has become a vast area of interest to researchers and data scientist in the last few years. Convolutional Neural Network (CNN) is a deep learning method used to solve complex problems. Medical image segmentation plays a vital role in clinical treatment and teaching tasks. The CNN dominates with the optimum results on varying image classification tasks. However, medical image datasets collection is arduous because it needs lots of professional expertise to label them. Therefore, this project explores how to apply the CNN on chest X-ray datasets to classify COVID-19 as positive or negative. The neural network consists of three convolutional layers, followed by max-pooling layers and one fully-connected layer with a final one-way softmax. A Kaggle chest X-ray images dataset is used in the experiments. To reduce overfitting, I employ a method called β€œdropout” that proved to be very effective.

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