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Medical imaging

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Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis, and medical intervention.

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kmario23 / deep-learning-drizzle

Star 10.1k

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks
  • Updated Apr 10, 2022
  • HTML

NifTK / NiftyNet

Star 1.3k

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

python deep-neural-networks deep-learning neural-network tensorflow ml python3 distributed medical-imaging pip gan autoencoder segmentation convolutional-neural-networks python2 medical-image-computing medical-images medical-image-processing image-guided-therapy medical-image-analysis
  • Updated Apr 21, 2020
  • Python

DLTK / DLTK

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Apply the same transformation to image and mask in elastic_transform ?

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Jing-He
Jing-He commented Jul 25, 2018

In augmentation, elastic_transform, it only applies a random transform on one input image array. I would think to be used for training, the image and mask pair should be transform in the same way. However, this single-input-image, single-output-image method makes it very inconvenient. Could we deform a list of images (np.arrays) using the same transformation in this method ? Thanks!

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enhancement help wanted good first issue

MIC-DKFZ / medicaldetectiontoolkit

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The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

deep-neural-networks deep-learning detection inference medical-imaging segmentation object-detection medical-image-computing semantic-segmentation 3d-models medical-image-processing mask-rcnn u-net medical-image-analysis 2d-3d pytorch-cnn retina-net 3d-object-detection pytorch-implementation pytorch-deeplearning retina-unet 3d-mask-rcnn
  • Updated Apr 4, 2022
  • Python

InsightSoftwareConsortium / ITK

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Find more good first issues

Slicer / Slicer

Star 711
Find more good first issues

dipy / dipy

Star 515

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

python tracking machine-learning medical-imaging registration neuroimaging segmentation bundles spherical-harmonics microstructure diffusion-mri neuroanatomy tractography dti denoising self-supervised-learning tractometry dki contextual-enhancement patch2self
  • Updated May 31, 2022
  • Python
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