Radiology and DeepLearningDetecting pneumonia opacities from chest X-Ray images using deep learning. One day back in August, I was catching up with my best friend from high school who is now a radiology resident. One thing led to another, and we started talking about our interests in artificial intelligence and machine learning and its possible applications in radiology.
A couple of months after our talk, I stumbled upon a Kaggle challenge hosted by the Radiological Society of North American (RSNA). It was a competition that we could work on together, so I immediately called my friend. Joined by my brother, we formed a team to compete in this Kaggle challenge.
After a month of hard work, we ended up finishing in the top 3%. In this blog post, I’d like to detail what we did during the exciting month. One day back in August, I was catching up with my best friend from high school who is now a radiology resident.
One thing led to another, and we started talking about our interests in artificial intelligence and machine learning and its possible applications in radiology. A couple of months after our talk, I stumbled upon a Kaggle challenge hosted by the Radiological Society of North American (RSNA). It was a competition that we could work on together, so I immediately called my friend.
Joined by my brother, we formed a team to compete in this Kaggle challenge. After a month of hard work, we ended up finishing in the top 3%. In this blog post, I’d like to detail what we did during the exciting month.
Source: medium.com