Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT
Summary
Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT is a scholarly article[1].
Key Facts
Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT'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). Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT. Retrieved May 24, 2026, from https://4ort.xyz/entity/light-m-an-efficient-lightweight-medical-image-segmentation-framework-for-resource-constrained-iomt
MLA“Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/light-m-an-efficient-lightweight-medical-image-segmentation-framework-for-resource-constrained-iomt.
BibTeX@misc{4ortxyz_light-m-an-efficient-lightweight-medical-image-segmentation-framework-for-resource-constrained-iomt_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT}}, year = {2026}, url = {https://4ort.xyz/entity/light-m-an-efficient-lightweight-medical-image-segmentation-framework-for-resource-constrained-iomt}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT — https://4ort.xyz/entity/light-m-an-efficient-lightweight-medical-image-segmentation-framework-for-resource-constrained-iomt (retrieved 2026-05-24)
