LadderNet
Medical segmentation model
A deep learning implementation of a multi-path network architecture for medical image segmentation
140 stars
7 watching
36 forks
Language: Python
last commit: about 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
juntang-zhuang/shelfnet | An implementation of a lightweight semantic segmentation model with real-time performance capabilities | 252 |
ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 427 |
hszhao/pspnet | A PyTorch implementation of a deep learning model for semantic image segmentation | 1,596 |
zhengpeng7/birefnet | This project provides an implementation of a deep learning model for image segmentation tasks, including background removal and object detection. | 1,417 |
zsdonghao/u-net-brain-tumor | This repository demonstrates how to train a U-Net neural network for brain tumor segmentation using medical imaging data. | 506 |
churuanh0/fastsam_awsome_tensorrt | An implementation of a CNN model optimized for speed and segment anything functionality using the FastSAM design. | 108 |
oyam/pytorch-dpns | PyTorch implementation of a deep learning model for image segmentation | 90 |
k3nt0w/fcn_via_keras | A Python implementation of a deep neural network architecture for semantic image segmentation | 48 |
marvinteichmann/tensorflow-fcn | An implementation of a fully convolutional network architecture for image segmentation using VGG weights. | 1,101 |
javeywang/pyramid-attention-networks-pytorch | An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 236 |
zhujun98/semantic_segmentation | Implementations of deep learning architectures for semantic segmentation of images in various datasets. | 6 |
jianhuupenn/spagcn | An algorithmic framework to integrate gene expression data with spatial location and histological information to identify distinct regions in tissue samples. | 200 |
preritj/segmentation | Deep learning models for semantic segmentation of images | 101 |
qingyonghu/randla-net | A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds | 1,321 |
isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |