Summary of “Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System” (2019)

Abstract Deep learning has shown promise to augment radiologists and improve the standard of care globally. Two main issues that complicate deploying these systems are patient privacy and scaling to the global population. To deploy a system at scale with minimal computational cost while preserving privacy we present a web delivered (but locally run) system…

Facebook page news auto-poster

So you have learned a bit about machine learning and web crawling. Now you are excited to build something simple yet still useful. What can you make? Here is one idea. Let’s say you managed a Facebook Page for your business or community and want to regularly post relevant news or articles from the internet….

SIFT/SURF BoW for big number of clusters

If you spend some time browsing, there are some examples already available for Python SIFT/SURF bag of words (BoW) classifier in the internet. They use clustering (usually K-Means) to build dictionary of visual vocabularies (usually with sklearn or cv2 clustering library) of SIFT/SURF features. However, most of the sample codes that I found can’t properly…

Keras VGG16 flat-features extractor

Using pre-trained deep learning model as feature extractor is a proven way to improve classification accuracy. One of the famous model is Oxford’s VGG16, which is trained using million images to recognize 1,000 classes ranging from animals, vehicles and other stuffs. Now, to use VGG16 as part of another neural network is relatively easy, especially…