Medical Image Analysis with Deep Learning

In my last article, I wrote a general overview of Big Data Analytics in Healthcare. Researchers at IBM estimate that medical images currently account for at least 90 percent of all medical data, making it the largest data source in the healthcare industry. This becomes an overwhelming amount on a human scale, when you consider that radiologists in some hospital emergency rooms are presented with thousands of images daily, most of which are not analyzed properly. Due to the large facets of healthcare processes, it is not uncommon to create datasets with over 10,000 or more features even after dimensionality reduction. Deep learning has shown that being able to train large models on vasts amount of data can drastically improve model performance.