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NifTK / NiftyNet

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[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 good first issue help wanted

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 Oct 14, 2020
  • Python

josedolz / LiviaNET

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This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

deep-neural-networks theano deep-learning architecture cnn mri medical-imaging neural-networks deep-learning-algorithms neuroimaging convolutional-networks convolutional-neural-networks image-segmentation nifti-format neuroimage medical-image-processing 3d-convolutional-network 3d-cnn scale-study medical-image-analysis medical-image-segmentation brain-segmentation
  • Updated Nov 20, 2019
  • Python

josedolz / HyperDenseNet

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This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

deep-neural-networks theano deep-learning cnn neural-networks deep-learning-algorithms segmentation densenet fcn convolutional-neural-networks weight image-segmentation nifti-format epoch medical-image-processing 3d-convolutional-network 3d-cnn medical-image-analysis medical-image-segmentation brain-segmentation hyperdensenet multi-modal-imaging segment-medical-images
  • Updated Nov 20, 2019
  • Python

anjanatiha / Pneumonia-Detection-from-Chest-X-Ray-Images-with-Deep-Learning

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Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

tensorflow keras medical-imaging imagenet image-recognition convolutional-neural-networks inception chest-xray-images medical-image-computing inceptionv3 image-detection deep-convolutional-networks biomedical-image-processing keras-tensorflow medical-image-processing medical-application medical-image-analysis biomedical-applications biomedical-image-analysis pneumonia-detection
  • Updated Dec 16, 2018
  • Jupyter Notebook

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