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Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach
Research article (Journal of Computational Science, 2017) · cited 50× · AI/ML
Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach
Summary
Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach is a scholarly article[1].
Key Facts
Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-segmentation-and-automatic-seed-point-selection-of-nasopharyngeal-carcinoma-from-microscopy-images-using-regio
MLA“Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-segmentation-and-automatic-seed-point-selection-of-nasopharyngeal-carcinoma-from-microscopy-images-using-regio.
BibTeX@misc{4ortxyz_automatic-segmentation-and-automatic-seed-point-selection-of-nasopharyngeal-carcinoma-from-microscopy-images-using-regio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-segmentation-and-automatic-seed-point-selection-of-nasopharyngeal-carcinoma-from-microscopy-images-using-regio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach — https://4ort.xyz/entity/automatic-segmentation-and-automatic-seed-point-selection-of-nasopharyngeal-carcinoma-from-microscopy-images-using-regio (retrieved 2026-05-24)
