Automatic content understanding with cascaded spatial–temporal deep framework for capsule endoscopy videos

Research article (Neurocomputing, 2016) · cited 29× · AI/ML
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Automatic content understanding with cascaded spatial–temporal deep framework for capsule endoscopy videos

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Automatic content understanding with cascaded spatial–temporal deep framework for capsule endoscopy videos is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Automatic content understanding with cascaded spatial–temporal deep framework for capsule endoscopy videos. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-content-understanding-with-cascaded-spatialtemporal-deep-framework-for-capsule-endoscopy-videos
MLA “Automatic content understanding with cascaded spatial–temporal deep framework for capsule endoscopy videos.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-content-understanding-with-cascaded-spatialtemporal-deep-framework-for-capsule-endoscopy-videos.
BibTeX @misc{4ortxyz_automatic-content-understanding-with-cascaded-spatialtemporal-deep-framework-for-capsule-endoscopy-videos_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic content understanding with cascaded spatial–temporal deep framework for capsule endoscopy videos}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-content-understanding-with-cascaded-spatialtemporal-deep-framework-for-capsule-endoscopy-videos}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic content understanding with cascaded spatial–temporal deep framework for capsule endoscopy videos — https://4ort.xyz/entity/automatic-content-understanding-with-cascaded-spatialtemporal-deep-framework-for-capsule-endoscopy-videos (retrieved 2026-05-24)

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