u-net
Image Segmentation Model
A convolutional neural network architecture for biomedical image segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
426 stars
27 watching
159 forks
Language: Python
last commit: 7 months ago
Linked from 1 awesome list
convolutional-networksconvolutional-neural-networksdeep-learningdeep-neural-networksimage-segmentationkerasmedical-imagingpythontensorflowunet
Related projects:
Repository | Description | Stars |
---|---|---|
preritj/segmentation | Deep learning models for semantic segmentation of images | 100 |
zhengpeng7/birefnet | An implementation of a deep learning-based image segmentation model for high-resolution images | 1,319 |
hasnainraz/fc-densenet-tensorflow | Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
fabianbormann/tensorflow-deconvnet-segmentation | An implementation of a deep learning algorithm for image segmentation using convolutional neural networks | 220 |
zfturbo/zf_unet_224_pretrained_model | A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
4uiiurz1/pytorch-nested-unet | An implementation of a deep learning model for image segmentation using PyTorch | 851 |
simonkohl/probabilistic_unet | Reimplementation of a neural network model for conditional segmentation of ambiguous images | 546 |
jakeret/tf_unet | An open source U-Net image segmentation implementation using Tensorflow | 1,899 |
edwardtyantov/ultrasound-nerve-segmentation | An ultrasound image segmentation project using Keras and U-net architecture | 181 |
juntang-zhuang/laddernet | A deep learning implementation of a multi-path network architecture for medical image segmentation | 139 |
zsdonghao/u-net-brain-tumor | This repository demonstrates how to train a U-Net neural network for brain tumor segmentation using medical imaging data. | 505 |
k3nt0w/fcn_via_keras | A Python implementation of a deep neural network architecture for semantic image segmentation | 48 |
henyau/image-segmentation-with-unet | Automated image segmentation of road and vehicle features from video data using the U-Net algorithm | 15 |
mitmul/ssai-cnn | Semantic segmentation using convolutional neural networks for aerial and satellite images | 260 |
ecobost/cnn4brca | This project uses Convolutional Neural Networks (CNN) for image segmentation of breast cancer lesions. | 75 |