robot-surgery-segmentation
Instrument segmentation model
Develops AI models to accurately segment robotic instruments in medical images from robot-assisted surgery videos.
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
Archived
626 stars
22 watching
213 forks
Language: Jupyter Notebook
last commit: over 2 years agoLinked from 1 awesome list
computer-visiondeep-learningimage-segmentationmedical-imagingpythonpytorchrobot-assisted-surgery
damminhtien/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
| ternaus/ternausnet | An image segmentation model using an UNet architecture with a pre-trained VGG11 encoder. | 1,049 |
| ternaus/iglovikov_segmentation | A deep learning-based semantic segmentation pipeline using the Catalyst framework. | 20 |
| ternaus/ternausnetv2 | A deep learning model for automatic instance segmentation of building footprints from satellite imagery | 548 |
 henyau/image-segmentation-with-unet | Automated image segmentation of road and vehicle features from video data using the U-Net algorithm | 15 |
 fregu856/segmentation | An implementation of the ENet model for semantic segmentation in images, trained on the Cityscapes dataset. | 245 |
 ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 430 |
 preritj/segmentation | Deep learning models for semantic segmentation of images | 101 |
 simonkohl/probabilistic_unet | Reimplementation of a neural network model for conditional segmentation of ambiguous images | 548 |
 yassouali/pytorch-segmentation | Implementation of semantic segmentation models and datasets using PyTorch | 1,705 |
 uber-research/upsnet | Develops an instance segmentation and panoptic segmentation model for computer vision tasks. | 648 |
 nvidia/semantic-segmentation | Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,787 |
 bloodaxe/catalyst-inria-segmentation-example | An example project demonstrating the use of Catalyst for training segmentation models from Inria Satellite Segmentation Challenge data. | 45 |
 mitmul/ssai-cnn | Semantic segmentation using convolutional neural networks for aerial and satellite images | 260 |
 zfturbo/zf_unet_224_pretrained_model | A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
 marvinteichmann/kittiseg | An implementation of a fully convolutional network-based road segmentation model using TensorFlow. | 911 |