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…

Simple music fingerprinting using Chromaprint in Python

Have you ever heard or even use service like Shazam? Cool, right? No, we are not going to make something as magical as it 😜 But using chromaprint we can create audio fingerprint so that we can do music search by using a music sample. Before we can use chromaprint python library, pyacoustid, we need to install chromaprint…

Training NER model using Stanford Core NLP CRF Classifier

Named-Entity Recognition (NER) is one of the most popular NLP tasks. It’s popular because it produces annotation result that can be used directly (eg. extracting people name from text) or indirectly (eg. extracting feature for classification task). One of the easiest way to do it is by downloading and using latest Stanford Core NLP suite…