Home ›
Entities
› academia
› Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut
Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut
Research article (Experimental and Therapeutic Medicine, 2018) · cited 48× · AI/ML
Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut
Summary
Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut is a scholarly article[1].
Key Facts
Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut'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). Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-nasopharyngeal-carcinoma-segmentation-in-magnetic-resonance-images-by-combination-of-convolutional-neural-netw
MLA“Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-nasopharyngeal-carcinoma-segmentation-in-magnetic-resonance-images-by-combination-of-convolutional-neural-netw.
BibTeX@misc{4ortxyz_automated-nasopharyngeal-carcinoma-segmentation-in-magnetic-resonance-images-by-combination-of-convolutional-neural-netw_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut}}, year = {2026}, url = {https://4ort.xyz/entity/automated-nasopharyngeal-carcinoma-segmentation-in-magnetic-resonance-images-by-combination-of-convolutional-neural-netw}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut — https://4ort.xyz/entity/automated-nasopharyngeal-carcinoma-segmentation-in-magnetic-resonance-images-by-combination-of-convolutional-neural-netw (retrieved 2026-05-24)