yifuhua725

yifuhua725

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lung_nodule_detector

lung nodule detector using 3d resnet using focal loss

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lung_nodule_classifier

lung nodule classifier for 9 attribute

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DiagnoseSystem

CT影像肺结节识别诊断,使用OpenCV, DCMTK编写算法,MFC编写界面

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Image-Augmentation

Image augmentation for object detection, segmentation and classification

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Awesome-Backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

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CIR

Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]

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CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

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ResT

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

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NoduleNet

[MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

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Pytorch-Segmentation-multi-models

Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)

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Swin-Transformer-Semantic-Segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

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Awesome-U-Net

Official repo for Medical Image Segmentation Review: The success of U-Net

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pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

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External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

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ResUNetPlusPlus-with-CRF-and-TTA

Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

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segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

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MT-UNet

Official Code for *Mixed Transformer UNet for Medical Image Segmentation*

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ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

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Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

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awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

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by-yourself

前端手写题汇总

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by-yourself

前端手写题汇总

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MGICNN

Implementation of "Multi-scale Gradual Itegration Convolutional Neural Network for False Positive Reduction in Pulmonary Nodule Detection"

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CT-GAN

A GAN based framework for adding and removing medical evidence in 3D volumetric medical scans

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