liverseg-2017-nipsws
Liver segmentation
A method to segment liver lesions from CT scans using CNNs with a cascaded architecture and detector
Detection-aided Liver Lesion Segmentation
99 stars
18 watching
52 forks
Language: Python
last commit: almost 4 years ago
Linked from 1 awesome list
mrgloom/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 martinkersner/py-img-seg-eval | A Python package providing metrics and tools for evaluating image segmentation models | 282 |
 ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 426 |
| imatge-upc/saliency-2016-cvpr | This project proposes a solution to predict salient areas in images using convolutional neural networks. | 185 |
 evanwy/carlasemseg | Automated image segmentation algorithm for autonomous driving research using the Carla dataset | 8 |
 jianhuupenn/spagcn | An algorithmic framework to integrate gene expression data with spatial location and histological information to identify distinct regions in tissue samples. | 198 |
 ibbm/cascaded-fcn | An implementation of a Cascaded Fully Convolutional Neural Network architecture for medical image segmentation | 304 |
 imlab-uiip/lung-segmentation-2d | A deep learning model for segmenting lung tissue from 2D chest X-ray images using a UNet architecture. | 172 |
 nv-tlabs/gscnn | This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks. | 920 |
 mitmul/ssai-cnn | Semantic segmentation using convolutional neural networks for aerial and satellite images | 260 |
 ternaus/iglovikov_segmentation | A deep learning-based semantic segmentation pipeline using the Catalyst framework. | 20 |
 ecobost/cnn4brca | This project uses Convolutional Neural Networks (CNN) for image segmentation of breast cancer lesions. | 75 |
 nvidia/semantic-segmentation | Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,777 |
 k3nt0w/fcn_via_keras | A Python implementation of a deep neural network architecture for semantic image segmentation | 48 |
 juntang-zhuang/laddernet | A deep learning implementation of a multi-path network architecture for medical image segmentation | 139 |
 uber-research/upsnet | Develops an instance segmentation and panoptic segmentation model for computer vision tasks. | 649 |