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2016_pawlowski_mlcb

Supporting materials for automated morphological profiling using pre-trained deep convolutional networks

adversarialnetspapers

The classical papers and codes about generative adversarial nets

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

bach

Breast image classification in PyTorch and Keras

caserel

caserel

cnn-cone-detection

deeplabcut

Markerless tracking of user-defined features with deep learning

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

helloworld

iciar2018

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

image-denoise-and-tv-solver

Image de-noising using FISTA and MFISTA algorithms and 1D L1 and L2 solver

image-denoising-state-of-the-art

in-silico-labeling

Code for In silico labeling: Predicting fluorescent labels in unlabeled images

ismrmrd-paper

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

octsegmentation

Reference Code for the publication "Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization" (see http://www.sciencedirect.com/science/article/pii/S1361841514000449)

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

relaynet

Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)

retinal-oct-state-of-art

Recopilation of most revelant papers of the retinal image analysis via OCT

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

tflearning

TensorFlow learning

the-gan-zoo

A list of all named GANs!

u-net

U-Net: Convolutional Networks for Biomedical Image Segmentation

ultrasound-nerve-segmentation

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

unet-instance-cell-segmentation

[Pytorch] This project aims to perform well at instance segmentation on the BBBC006 cells dataset. We tested UNet over several configurations including the loss function, evaluation function and the datasets.