Home ›
Entities
› academia
› Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection
Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection
Research article (Multimedia Tools and Applications, 2020) · cited 41× · AI/ML
Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection
Summary
Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection is a scholarly article[1].
Key Facts
Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection'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). Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/minimum-redundancy-maximum-relevance-mrmr-based-feature-selection-from-endoscopic-images-for-automatic-gastrointestinal-
MLA“Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/minimum-redundancy-maximum-relevance-mrmr-based-feature-selection-from-endoscopic-images-for-automatic-gastrointestinal-.
BibTeX@misc{4ortxyz_minimum-redundancy-maximum-relevance-mrmr-based-feature-selection-from-endoscopic-images-for-automatic-gastrointestinal-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection}}, year = {2026}, url = {https://4ort.xyz/entity/minimum-redundancy-maximum-relevance-mrmr-based-feature-selection-from-endoscopic-images-for-automatic-gastrointestinal-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection — https://4ort.xyz/entity/minimum-redundancy-maximum-relevance-mrmr-based-feature-selection-from-endoscopic-images-for-automatic-gastrointestinal- (retrieved 2026-05-24)
