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Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class
Research article (Bioengineering, 2023) · cited 20× · AI/ML
Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class
Summary
Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class is a scholarly article[1].
Key Facts
Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class. Retrieved May 24, 2026, from https://4ort.xyz/entity/self-supervision-for-medical-image-classification-state-of-the-art-performance-with-100-labeled-training-samples-per-cla
MLA“Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/self-supervision-for-medical-image-classification-state-of-the-art-performance-with-100-labeled-training-samples-per-cla.
BibTeX@misc{4ortxyz_self-supervision-for-medical-image-classification-state-of-the-art-performance-with-100-labeled-training-samples-per-cla_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class}}, year = {2026}, url = {https://4ort.xyz/entity/self-supervision-for-medical-image-classification-state-of-the-art-performance-with-100-labeled-training-samples-per-cla}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class — https://4ort.xyz/entity/self-supervision-for-medical-image-classification-state-of-the-art-performance-with-100-labeled-training-samples-per-cla (retrieved 2026-05-24)
