CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation (2022-01-08T00:00:00.000000Z)

TL;DR

The Cross-Modality Domain Adaptation (crossMoDA) challenge was organised in conjunction with the 24th International Conference on Medical Image Computing and Computer Ass Intervention (MICCAI 2021) and is the first large and multi-class benchmark for unsupervised cross-modality domain Adaptation.

Authors

Nicola Rieke

4 papers

S. Bakas

6 papers

S. Ourselin

17 papers

References85 items

COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training

C-MADA: unsupervised cross-modality adversarial domain adaptation framework for medical image segmentation

Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge

TL;DR

Authors

References85 items

COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training

C-MADA: unsupervised cross-modality adversarial domain adaptation framework for medical image segmentation

Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge

Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training

Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble

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