Medical Image Analysis with Deep Learning — IV

Note: This is a 4 part article and you can find the other articles via these links (part 1, part 2, part 3, this). I have also put together collection of these in a small booklet available via amazon, if you would like a physical copy. Please reach out to me if you have feedback to improve and provide this information to all.

Nvidia GTC conference 2017 was an excellent source for all the effort on work on health care in Deep learning. Deep learning experts such as Ian GoodFellow, Jeremy Howard and others shared their perspective on Deep learning. Top medical schools (Mount Sinai, NYU, Massachusetts General Hospital, etc.) and Kaggle — lung cancer BOWL winners explained their modeling strategies. Coming back to our series, in the last article we talked about basic deep-learning on text and image data. In this article we will focus on the medical images and their formats.

This article is structured into 3 parts — Medical Images and their components, Medical Image formats and their format conversions. The goal is to develop knowledge to help us with our ultimate goal — medical image analysis with deep learning.

Medical Images & Components

A very good resource for this discussion is the paper published by Michele Larobina & Loredana Murino from, Institute of bio structures…