Morphology of the Brain: Changes in Ventricular and Cranial Vault Volumes in 15000 subjects with Aging and Hydrocephalus 11 March 2019 This post is Part 1 of a series that uses large datasets (15,000+) coupled with deep learning segmentation methods to review and maybe re-establish what we know about normal brain anatomy and pathology. Subsequent posts will tackle intra-cranial b...
Challenges of Development & Validation of Deep Learning for Radiology 29 October 2018 We have recently published an article on our deep learning algorithms for Head CT in The Lancet. This article is the first ever AI in medical imaging paper to be published in this journal. We described development and validation of these algorithm...
Guide to Semantic Segmentation with Deep Learning 05 July 2017 In this post, I review the literature on semantic segmentation. Most research on semantic segmentation use natural/real world image datasets. Although the results are not directly applicable to medical images, I review these papers because researc...
PyTorch Data Loading Tutorial 11 June 2017 A lot of effort in solving any machine learning problem goes in to preparing the data. PyTorch provides many tools to make data loading easy and hopefully, to make your code more readable.
Deep Learning Crash Course Part 2 16 May 2017 Continued from Part 1. We have so far seen MLPs and why they are hard to train. Now, we will develop networks which overcome these difficulties.Convolutional Neural NetworksLet’s go back to the problem of handwritten digit recognition. MLP looks l...