Supervised Project

  • Category: Data - Deep Learning
  • For: IMECC Mathematics Institute, UNICAMP
  • Project date: 2019-2020
  • Project URL: Part I | Part II | GitHub

Deep Learning for Medical Image Analysis

During my degree course I had the opportunity to work and better understand the area of ​​Image Processing through a project I carried out with a professor at Unicamp, whose your Research was in the area of ​​Analysis Medical Images and which helped me to get a little deeper into this area.

Through this project I was able to understand mathematically and through Python applications the basic principles of a Neural Network until its use in Deep Learning, exploring tools such as PyTorch and techniques as Transfer Learning.

Technologies used: Python, Jupyter Notebook, PyTorch, Pandas, Numpy.