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Harshwin's Projects

learning icon learning

This repository contains some of my practice codes that made me comfortable with particular skills

numba icon numba

NumPy aware dynamic Python compiler using LLVM

object-tracking icon object-tracking

Object tracking for the applications in vehicle navigation and robotics based on image processing using colours and features

syde-522 icon syde-522

Tutorials and Lecture notes for SYDE 522

wide-residual-newtork- icon wide-residual-newtork-

Medical image classification is essential to store and retrieve large amount of data. Also to help doctors assisting instantaneously. Various approaches are provided in literature. Very good results are obtained using fuzzy inference system, some data mining techniques. But the best published results are using Local binary pattern(LBP) and Support vector machine(SVM). In this paper, we try to use a deep learning approach to classify medical images. A technique called WRN( Wide Residual Network) is implemented and tested using Image Retrieval in Medical Applications(IRMA) dataset.

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