Use case on kidney CT data from KiTS19 challenge

TL;DR

Introduction

DICOM (Digital Imaging and Communications in Medicine) is the international standard for storing and transmitting medical images, and DICOM files are mostly viewed using PACS (picture archiving and communication systems) in hospitals.

While radiologic images such as X-ray, CT, and MR, are grayscale, you may want to edit the images in RGB, e.g., for annotation or image processing. …


Just a .py file with a little bit of my modification of an old StackOverflow post

Photo by Mika Baumeister on Unsplash

The code in this post is heavily based on StackOverflow posts by Greg from Dropbox.

When you’re working on a cloud workstation (e.g. GCP or AWS), you often have to handle large data set. Although you can use cloud storage provided in GCP or AWS, I prefer Dropbox because I use them for files not only for the cloud workstation but also for other usages. While it was relatively easy to download files from Dropbox using the wget command and the Dropbox URL, I found it difficult to upload files to Dropbox without the browser or desktop app. …


Training StyleGAN with ~1K images of English football club logos

Image by the author. Football club logos created by StyleGAN.

This post covers

Introduction

Generative adversarial network (GAN), a type of generative model for unsupervised learning, has progressed rapidly since its first development in 2014 by Ian Goodfellow. The main goal of a GAN is to learn the distribution of real-world data and synthesize realistic “fake” data that are indistinguishable from the original real-world data.

A Style-Based Generator Architecture for GANs (StyleGAN), developed by NVIDIA in 2018, is now one of the most well-known GANs…

Jae Won Choi, MD

Coding Radiologist

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