milkjia521

milkjia521's Stars

• hellopipu/Brain_generate

  Language:Python51

• ldeecke/vae-torch

  Variational autoencoder for anomaly detection (in PyTorch).

  Language:Python4812

• Roiabr/Head-CT-hemorrhage-detection

  Machine learning algorithms that detect Brain Hemorrhage in Computed Tomography (CT) imaging

  Language:Python97

• zjuphoenix/ct-cad

  CT图像计算机辅助诊断

  Language:JavaScript43

• MASHRAF0/Prioritization---Emergiencies

  I have used deep learning to create two classification algorithms, one for the detection of brain bleeds on head CT images, and one for the detection of aortic dissection on chest x-ray images. Now, we need to figure out how to integrate these algorithms into the radiologist's workflow so that they are most helpful clinically. We have the following:- A list of images that have come in through the ED in order of patient arrival. Probabilities of 'brain bleed' for each image, as determined by one of our deep learning algorithms. Probabilities of 'aortic dissection' for each image, as determined by one of our deep learning algorithms.

  Language:Jupyter Notebook1

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.4k1k

• sara-nl/3D-VQ-VAE-2

  3D VQ-VAE-2 for high-resolution CT scan synthesis

  Language:Python418

• JoshuaMathew/VAE-Image-Classification

  Using a variational autoencoder to classify images of dogs

  Language:Python21