Home ›
Entities
› academia
› Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries
Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries
Research article (Scientific Reports, 2023) · cited 15× · AI/ML
Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries
Summary
Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries is a scholarly article[1].
Key Facts
Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries. Retrieved May 24, 2026, from https://4ort.xyz/entity/weakly-supervised-semantic-segmentation-for-mri-exploring-the-advantages-and-disadvantages-of-class-activation-maps-for-
MLA“Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/weakly-supervised-semantic-segmentation-for-mri-exploring-the-advantages-and-disadvantages-of-class-activation-maps-for-.
BibTeX@misc{4ortxyz_weakly-supervised-semantic-segmentation-for-mri-exploring-the-advantages-and-disadvantages-of-class-activation-maps-for-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries}}, year = {2026}, url = {https://4ort.xyz/entity/weakly-supervised-semantic-segmentation-for-mri-exploring-the-advantages-and-disadvantages-of-class-activation-maps-for-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries — https://4ort.xyz/entity/weakly-supervised-semantic-segmentation-for-mri-exploring-the-advantages-and-disadvantages-of-class-activation-maps-for- (retrieved 2026-05-24)
