XIBEI-95

XIBEI-95's Stars

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.5k9.9k

• DuFanXin/deep_residual_unet

  Keras implementation of Road Extraction by Deep Residual U-Net article

  Language:Python10336

• akkapakasaikiran/MIS-R2UNet

  A Tensorflow implementation of the Recurrent Residual U-Net for segmentation of retinal blood vessel and skin cancer images

  Language:Jupyter Notebook62

• theroyakash/ResidualUNet

  Implementation of paper of Residual UNet in keras

  Language:Jupyter Notebook2

• tranleanh/modified-resunet

  Modified Residual U-Net (ResUnet) for Image Segmentation

  Language:Python3811

• nikhilroxtomar/Deep-Residual-Unet

  ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

  Language:Jupyter Notebook22255

• KristenT9/RN-UNet

  RN-UNet: Residual Non-local U-Net for Lesion Segmentation of Ischemic Stroke

  Language:Python42

• Parikshit22/UNet-using-Dense-Layer

  Basically, I implemented U-Net architecture using Dense-Blocks instead of Convolution layers and also added a Dilated Spatial Pooling Layer in the BottleNeck layer

  Language:Python155

• MatthiasSchinzel/Combining-Resnet-and-Unet

  Language:Jupyter Notebook3

• rsinghal757/tgs-image-segmentation

  Kaggle TGS Image Segmentation Solution (ResNet based UNet Architechture with Attention Mechanism)

  Language:Python11

• niecongchong/UNet_resnet101-keras

  keras-UNet_resnet101

  Language:Jupyter Notebook174

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.7k1k

• JustinhoCHN/keras-image-data-augmentation

  keras ImageDataGenerator example

  Language:Jupyter Notebook6141

• lvisdd/EfficientNet-Keras-GradCam-Visualization

  EfficientNet-Keras-GradCam-Visualization

  Language:Jupyter Notebook182

• qubvel/efficientnet

  Implementation of EfficientNet model. Keras and TensorFlow Keras.

  Language:Python2.1k471

• Anki0909/BreakHist-Dataset-Image-Classification

  BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cancer. In this project, I have trained and fined tuned many of the existing CNN models to get over 80% accuracy in multi-class classification.

  Language:Python4215

• ViolinLee/Project_Dogs_vs_Cats

  Keras is used in this project to build CNN or reuse pretrained networks. Using a pretrained network normally consists of feature extraction and Finetuning.

  Language:Jupyter Notebook114

• flyyufelix/cnn_finetune

  Fine-tune CNN in Keras

  Language:Python938413

• JunMa11/MICCAI-OpenSourcePapers

  MICCAI 2019-2023 Open Source Papers

  1.2k239

• Andy-zhujunwen/UNET-ZOO

  including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.

  Language:Python632120

• MrGiovanni/UNetPlusPlus

  [IEEE TMI] Official Implementation for UNet++

  Language:Python2.3k539

• jpjuvo/camelyon17-multilevel

  Multilevel cnn notebooks for Camelyon17

  Language:Jupyter Notebook186

• Jonas1312/PFA-ScanNet

  PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).

  Language:Python225

• sabrinali18/Detecting-Cancer-Metastases

  Detecting Cancer Metastases on Gigapixel Pathology Images

  Language:Jupyter Notebook1

• btcrabb/SlideSeg

  A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

  Language:Jupyter Notebook7924

• abhinavdhere/Fast_WSI_Color_Norm

  Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology

  Language:Python192

• 3dimaging/DeepLearningCamelyon

  DeepLearning - Camelyon16 dataset

  Language:Jupyter Notebook11331

• fchollet/deep-learning-models

  Keras code and weights files for popular deep learning models.

  Language:Python7.3k2.5k

• Sakura-gh/ML-notes

  notes about machine learning

  Language:HTML3.3k919

• ozan-oktay/Attention-Gated-Networks

  Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

  Language:Python1.9k423