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A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain

Research article (Future Generation Computer Systems, 2020) · cited 118× · AI/ML
academia openalex:W3007184303
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A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain

Summary

A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain is a scholarly article[1].

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  • A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-based-medical-image-segmentation-technique-in-internet-of-medical-things-domain
MLA “A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-based-medical-image-segmentation-technique-in-internet-of-medical-things-domain.
BibTeX @misc{4ortxyz_a-deep-learning-based-medical-image-segmentation-technique-in-internet-of-medical-things-domain_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-based-medical-image-segmentation-technique-in-internet-of-medical-things-domain}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain — https://4ort.xyz/entity/a-deep-learning-based-medical-image-segmentation-technique-in-internet-of-medical-things-domain (retrieved 2026-05-24)

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