Pinned Repositories
3D-point-cloud-generation
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction :grapes: (AAAI 2018)
3DUX-Net
ADA4MIA
Awesome Source-Free Active Domain Adaptation for Medical Image Analysis
ClickSEG
A Codebase for Click-Based Interactive Segmentation
d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
iSegFormer
Official Pytorch implementation for iSegFormer
Medical-Segmentation3d-Toolkit
The Medical Segmentation Toolkit is a light-weight segmentation engine which contains training and inference framework in dealing with 3D medical images segmentation.
MTTR
renal-segmentation
Automatic Renal Segmentation for MR Urography Using 3D-GrabCut and Random Forests
ViTDet
Unofficial implementation of Exploring Plain Vision Transformer Backbones for Object Detection
codwest's Repositories
codwest/easyNNUNET
codwest/DEXTR-PyTorch
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr
codwest/Understanding-NN
Tensorflow tutorial for various Deep Neural Network visualization techniques
codwest/pytorch-unet
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
codwest/introRL
Intro to Reinforcement Learning (强化学习纲要)
codwest/UNet-family-
Paper and implementation of UNet-related model.
codwest/Digital-image-processing-and-application
bilibili啥都会一点的研究生:https://space.bilibili.com/46880349
codwest/CenterMask
[CVPR 2020] CenterMask : Real-Time Anchor-Free Instance Segmentation
codwest/interactive_image_segmentation_evaluation
Code for paper "A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems"
codwest/dwv
DICOM Web Viewer: open source zero footprint medical image viewer.
codwest/awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
codwest/RAUNet-tumor-segmentation
residual attention unet for tumor segmentation (liver and brain)
codwest/retina-unet
Retina blood vessel segmentation with a convolutional neural network
codwest/GrabCut-FCN
Improve the performance of traditional semi-automatic image segmentation algorithms (e.g. GrabCut) with U-Net
codwest/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
codwest/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
codwest/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
codwest/3D-point-cloud-generation
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction :grapes: (AAAI 2018)
codwest/SDREL-Segmentation
Saliency Driven Region-Edge-based Top Down Level Set Evolution Segmentation
codwest/Image_Segmentation_and_Statistical-analysis
Image segmentation and statistical analysis techniques have been applied to determine cancer cells progression in that area of specimen. OpenCV 'grabCut' algorithm and multiple image threshold and segmentation techniques have been applied
codwest/DeepEndo
Deep learning for Transsphenoidal Endoscopic Surgery
codwest/Skin-lesion-Segmentation-using-grabcut
Skin lesion segmentation is one of the first steps towards automatic Computer-Aided Diagnosis of skin cancer. Vast variety in the appearance of the skin lesion makes this task very challenging. The contribution of this paper is to apply a power foreground extraction technique called GrabCut for automatic skin lesion segmentation in HSV color space with minimal human interaction. Preprocessing was performed for removing the outer black border. Jaccard Index was measured to evaluate the performance of the segmentation method. On average, 0.71 Jaccard Index was achieved on 1000 images from ISIC challenge 2017 Training Dataset.
codwest/fpn-pytorch
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
codwest/visdom-tutorial
A simple tutorial to use Visdom to plot your PyTorch training graphs
codwest/VAT-pytorch
Virtual Adversarial Training (VAT) implementation for PyTorch
codwest/iW-Net
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. By Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken and Aurélio Campilho
codwest/pediatric-bone-age-prediction
Based on kaggle RSNA Pediatric Bone Age Prediction from X-Rays
codwest/seal
Code for Simultaneous Edge Alignment and Learning (SEAL)
codwest/Medical-Image-Analysis-MIPAV
医学图像处理的相关学习资料及论文的整理分享
codwest/Roadmap-of-DL-and-ML
Roadmap of DL and ML, some courses, study notes and paper summary