dice-loss topic
pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of pa...
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
TF.Keras-Commonly-used-models
基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。
Image-Segmentation-Loss-Functions
some loss functions of image segmentation
brain-tumor-segmentation-unet
Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.
U-Net_Lung-Segmentation
Application of U-Net in Lung Segmentation-Pytorch
3d-brain-tumor-segmentation
Volumetric MRI brain tumor segmentation using autoencoder regularization
MTL-Segmentation
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
HistoSeg
HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This re...