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duke-dbt-detection

Baseline for Duke DBT detection dataset

endovisposeannotation

This is our new multi-joint annotation for EndoVis MICCAI Challenge dataset ( https://endovissub-instrument.grand-challenge.org/), which can be used for multi-instrument pose estimation.

enlightengan

[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision"

ensemble-objdet

A basic ensemble method for object detection. Given bounding boxes from multiple object detectors, output a single cohesive set of bounding boxes.

fancy-video-classification

Video Classifiication Paper List

gandlf

A generalizable application framework for segmentation, regression, and classification using PyTorch

gatedcrfloss

generalize-unseen-domains

Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

kaggle-imaterialist

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

kaggle-rsna

5th place solution for: RSNA Intracranial Hemorrhage Detection

kaggle-rsna-intracranial-hemorrhage

kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

kiu-net-pytorch

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

label-efficient-brain-tumor-segmentation

learning-texture-invariant-representation

Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020

lits---liver-tumor-segmentation-challenge

LiTS - Liver Tumor Segmentation Challenge

m3d-cam

magic-vnet

VNet for 3d volume segmentation

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

medicaldataaugmentationtool-verse

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

medpy

Medical image processing in Python

medvision

Medical Image Vision Operators, such as RoIAlign, DCNv1, DCNv2 and NMS for both 2/3D images.

miccai-opensourcepapers

MICCAI 2020 Open Source Papers

modelsgenesis

Official Keras Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

mrbrains18

This code is written to participate in the MRBrainS18 competition.

multiplanarunet

Multi-Planar UNet for autonomous segmentation of 3D medical images

my-tensorflow-tutorials

This repo contains all of my TensorFlow tutorials

my_mmdetection

my_custom_mmdetection