4 posts tagged with "convolutional neural networks"

August 21, 2019 14min read

Automate the diagnosis of Knee Injuries 🏥 with Deep Learning part 3: Interpret models' predictions

In this last post, we will focus on interpretability to assess what the ACL tear detector we trained in the previous article actually learnt. To do this, we'll explore a popular interpretability technique called Class Activation Map (CAM), applied when using convolutional neural networks that have a special architecture

mri medical imaging mrnet convolutional neural networks pytorch interpretability class activation map cam

July 14, 2019 15min read

Automate the diagnosis of Knee Injuries 🏥 with Deep Learning part 2: Building an ACL tear classifier

In this post, you'll learn how to use PyTorch to train an Anterior Cruciate Ligament (ACL) tear classifier that sucessfully detects these injuries from MRIs with a very high performance. We'll dive into the code and we'll go through various tips and tricks ranging from transfer learning to data augmentation, stacking and handling medical images

computer vision mri medical imaging computer vision mrnet convolutional neural networks pytorch image classification

June 25, 2019 10min read

Automate the diagnosis of Knee Injuries 🏥 with Deep Learning part 1: an overview of the MRNet Dataset

This is a first post of a series dedicated to medical imaging using deep learning. Today, we'll explore an MRI dataset of knee injuries

computer vision mri medical imaging computer vision mrnet convolutional neural networks pytorch image classification jupyter widgets

November 13, 2017 41min read

Understanding deep Convolutional Neural Networks 👁 with a practical use-case in Tensorflow and Keras

Learn about Convolutional Neural Networks with a hands-on classification problem using Tensorflow and Keras

deep learning convolutional neural networks image classification keras tensorflow aws gpu computer vision