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3d-deformable-convolutions

A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet

3d-espnet

Efficient Segmentation for Volumetric Data

3d-vq-vae-2

3D VQ-VAE-2 for high-resolution CT scan synthesis

absegnet

[RedJournal2023]Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy.

acfnet

ACFNet: Attentional Class Feature Network for Semantic Segmentation.(ICCV2019)

acsconv

[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!

active-contour-loss

Implementation of active contour loss function

ai4rad

Using AI to accelerate adaptive radiotherapy, automatic GTVs, CTVs, OARs delineation, dose estimation, and survival prediction.

ai_tls_segmentation

al4gtvseg

Active Learning for Generalizable Nasopharyngeal Carcinoma Delineation Across Multiple Centers and Raters

al4mis

Active Learning for Medical Image Segmentation

awesome-incremental-learning

Awesome Incremental Learning

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

bnm

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

brats-dmfnet

brats2018_nvnet

Implement of NvNet

ca-net

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

chexpert_challenge

A baseline for CheXpert Challenge 2019 [Top 3(09/30/2019)]

cldice

pyTorch implementation of clDice

cleanlab

The standard package for machine learning with noisy labels and finding mislabeled data in Python.

clip-sam

cpmnetv2

CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans

cptac

Python packaging for CPTAC data

ctspine1k

A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

cutmix-semisup-seg

Semi-supervised semantic segmentation needs strong, varied perturbations

cv-interview

CV岗常见面试题(欢迎大家补充！！！)

dataset

Related medical image dataset from OpenMedLab and others.

deep-active-learning

Deep Active Learning

deepigeos

Pytorch Implementation of DeepIGeoS