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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

clustr

Official pytorch implementation of ClusTR

conresnet

[IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation

cotr

[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dodnet

[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

mb-dcnn

[TMI2020]A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.

medim

Pytorch implementation of MedIM

mgca

[NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

mv-kbc

[TMI2019] Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

pairaug

[CVPR2024] PairAug: What Can Augmented Image-Text Pairs Do for Radiology?

partially-labelled

Learning to segment multi-organ and tumorsfrom multiple partially labeled datasets

pcrl

official pytorch implementation of PCRL

pefat

[CVPR2023]PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training

pvt

s4m

Official pytorch implementation of “S4M: Generating Radiology Reports by A Single Model for Multiple Body Parts”

unimiss-code

[ECCV2022] Official pytorch implementation of UniMiSS

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