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Official submission to MIC's ResCon 1.0: Generate a detailed medical report by analyzing images of chest x-rays.

Home Page: https://github.com/01pooja10/MedGen

License: MIT License

Python 5.91% Jupyter Notebook 94.09%
medical-report natural-language-processing chest-xrays report-generation chexnet-model attention-model lstm

medgen's Introduction

Hi there ๐Ÿ‘‹

About Me: I am Pooja Ravi, a curious graduate (MScAC) student at the University of Toronto and a 2023-24 Vector Scholar in Artificial Intelligence. I am invested in Computer Vision and the impact it can create in the real world. Iโ€™m currently working as a Machine Learning engineer at 16Bit which is an AI start-up company building vision-based solutions using medical imaging data. I am also involved in projects revolving around 3D Vision and Generative AI as part of my coursework in Computational Imaging and ML for healthcare courses at UofT. I am a Deep Learning Researcher with excellent communication skills, both written and oral. I have published 4 research papers for three of which I was the first author.

Noteworthy projects:

  • Sketch-to-Shoe - A research project that uses pix2pix GAN to turn sketches of shoes into realistic versions of the same
  • SimpleGAN - Recreation of the MNIST GAN from scratch
  • MedGen - A seq2seq model for automatic chest x-ray report generation
  • SteerSecure - A driver safety app that monitors drowsiness and distraction among drivers
  • EasyDocs - A student-friendly application that can summarize documents, recognize text and images and convert text/PDF to audio books. Check out my other projects here

My Tech Stack:

  • Pytorch
  • Tensorflow and Keras
  • Matplotlib, Numpy
  • NLTK
  • streamlit
  • OpenCV
  • Pandas

My Other Profiles:

๐Ÿ“ซ How to reach me: [email protected]

medgen's People

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