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3d-u-net-keras

adaptive-wing-loss

Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

awesome-reviews-kaist

Computer vision paper reviews written by KAIST AI students

aws-ec2-deploy

Fast model deployment on AWS EC2

brats

Brain Tumor Segmentation using Our Private Dataset

cam

Class Activation Mapping

cs-570

Revisiting Knowledge Distillation with Feature Distillation

dicom2nifti

efficientdet-pytorch

EfficientDet implementation in pytorch

efficientdet.pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

intensity-normalization

normalize the intensity of several MR neuro image contrasts with various different routines

linux

lits-liver-tumor-segmentaton-challenge

LiTS (Liver Tumor Segmentation) Challenge

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

lr-warmup-with-cosine-annealing

medical-data-analysis-using-python

Basic of medical data analysis using Python.

mil-nature-medicine-2019

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

modified-3d-unet-pytorch

This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017

modified-unet-keras

Keras version of the modified U-Net

oss-fuzz

OSS-Fuzz - continuous fuzzing for open source software.

partialconv

A New Padding Scheme: Partial Convolution based Padding

pipnet

Implemetation of "Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild"

pytorch-deeplabv3plus-3d

Deeplabv3 plus 3D version (in pytorch)

pytorch-mri-segmentation-3d

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

pytorch_bn_fold

Batch Normalization Folding (Fusion of Conv and BN) in Pytorch

ritm_interactive_segmentation

Reviving Iterative Training with Mask Guidance for Interactive Segmentation