u-net-brain-tumor
by zsdonghao
U-Net Brain Tumor Segmentation
AI summary
Brain Tumor Segmentation Network
This repository demonstrates how to train a U-Net neural network for brain tumor segmentation using medical imaging data.
- stars
- 507
- forks
- 180
- watching
- 32
- awesome lists
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Image Segmentation Model
A convolutional neural network architecture for biomedical image segmentation
Medical segmentation model
A deep learning implementation of a multi-path network architecture for medical image segmentation
Image transformer library
An implementation of Spatial Transformer Networks in TensorFlow for learning to apply transformations to images via classification tasks.
Brain MRI segmenter
A PyTorch implementation of the U-Net architecture for brain MRI segmentation using pre-trained weights and a specific deep learning algorithm
Image segmentation tool
This project uses CNNs to segment breast cancer lesions from medical images.
hszhao/pspnet1.6K
Segmentation Model
A PyTorch implementation of a deep learning model for semantic image segmentation
Neural net model
An MXNet implementation of a modified deep neural network architecture for image classification
Segmentation model
Deep learning models for semantic segmentation of images
Tissue segmentation tool
An algorithmic framework to integrate gene expression data with spatial location and histological information to identify distinct regions in tissue samples.
Image Segmentation Network
Re-implementation of a 100-layer fully convolutional network architecture for image segmentation
Image segmentation model
An open-source implementation of an image segmentation model that combines background removal and object detection capabilities.
Segmentation model
Reimplementation of a neural network model for conditional segmentation of ambiguous images
Segmentation network
An implementation of a fully convolutional network architecture for image segmentation using VGG weights.
Metastasis detector
Detects cancer metastasis in whole slide images using deep learning and conditional random fields
Semantic segementation software
Real-time semantic segmentation software for high-resolution images using a deep neural network architecture
Featured in 2 awesome lists
Each link jumps to the spot where the list mentions u-net-brain-tumor.
