SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation
Summary
SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation is a scholarly article[1].
Key Facts
SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/sc-ssl-self-correcting-collaborative-and-contrastive-co-training-model-for-semi-supervised-medical-image-segmentation
MLA“SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sc-ssl-self-correcting-collaborative-and-contrastive-co-training-model-for-semi-supervised-medical-image-segmentation.
BibTeX@misc{4ortxyz_sc-ssl-self-correcting-collaborative-and-contrastive-co-training-model-for-semi-supervised-medical-image-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/sc-ssl-self-correcting-collaborative-and-contrastive-co-training-model-for-semi-supervised-medical-image-segmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation — https://4ort.xyz/entity/sc-ssl-self-correcting-collaborative-and-contrastive-co-training-model-for-semi-supervised-medical-image-segmentation (retrieved 2026-05-24)