lindanyan0088's Stars
thuml/Transferable-Adversarial-Training
Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
thuml/MDD
Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".
virajprabhu/SENTRY
PyTorch code for SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised DA (ICCV 2021)
BIT-DA/DDA
Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)
Meiyan88/MFEFnet
jeya-maria-jose/KiU-Net-pytorch
Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI
ljbatwh/Medical-Image-Classification
This is a research project about how to do medical image classification on small dataset by deep learning The pdf is the report. The VGG16 is the code for experiments
GorkemP/labeled-images-for-ulcerative-colitis
Codes to process and train LIMUC dataset
Fafa-DL/Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Tencent/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
lee-zq/3DUNet-Pytorch
3DUNet implemented with pytorch
amorimdiogo/VNet
MSc. Thesis - 3D Convolutional Neural Network for Liver Tumor Segmentation
wxr521314/TumorSegmentation
Liver Tumor Semantic Segmentation based on PyTorch
junqiangchen/LiTS---Liver-Tumor-Segmentation-Challenge
LiTS - Liver Tumor Segmentation Challenge
xmengli/H-DenseUNet
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
linhandev/dataset
医学影像数据集列表 『An Index for Medical Imaging Datasets』
valeoai/ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
MrGiovanni/SyntheticTumors
[CVPR 2023] Label-Free Liver Tumor Segmentation
whai362/PVT
Official implementation of PVT series
marinbenc/medical-polar-training
Meiyan88/SSHSNet
Meiyan88/PKAFnet
python, pytorch, torch_geometric
yulequan/UA-MT
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
MIC-DKFZ/nnUNet
bingogome/samm
A 3D Slicer integration to Meta's SAM.
clovaai/CutMix-PyTorch
Official Pytorch implementation of CutMix regularizer
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation