Deep learning in medical imaging

  1. If you want to quickly understand the fundamental concepts, we strongly advice to check our blog post, which provides a high level overview of all the aspects of medical image segmentation and deep learning.
  2. Another more introductory article I wrote on medical imaging concepts for deep learning can be found here.
  3. For more background in Deep Learning in MRI please advice this.
  4. Our open source library Medical Zoo pytorch is provided in the Github link, which implements the following architectures: U-Net3D,V-net, ResNet3D-VAE, SkipDesneNet3D, HyperDense-Net, multi-stream Densenet3D, DenseVoxelNet, MED3D, HighResNet3D

Don't forget to tag @black0017 in your comment, otherwise they may not be notified.

Authors original post
"The statements of science are not of what is true and what is not true, but statements of what is known with different degrees of certainty." - Richard Feynman
Share this project
Similar projects
Semixup: In- and Out-of-Manifold Regularization
Semixup is a semi-supervised learning method based on in/out-of-manifold regularization.
BioBERT: a pre-trained biomedical language representation model
Code for fine-tuning BioBERT for biomedical text mining tasks such as biomedical NER, relation extraction, QA, etc.
ScispaCy
A full spaCy pipeline and models for scientific/biomedical documents.
Janggu - Deep learning for Genomics
Deep learning infrastructure for bioinformatics.
Top collections