An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection

Research article (Biomedical Signal Processing and Control, 2025) · cited 12× · AI/ML
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An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection

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An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-ensemble-approach-of-deep-cnn-models-with-beta-normalization-aggregation-for-gastrointestinal-disease-detection
MLA “An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-ensemble-approach-of-deep-cnn-models-with-beta-normalization-aggregation-for-gastrointestinal-disease-detection.
BibTeX @misc{4ortxyz_an-ensemble-approach-of-deep-cnn-models-with-beta-normalization-aggregation-for-gastrointestinal-disease-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection}}, year = {2026}, url = {https://4ort.xyz/entity/an-ensemble-approach-of-deep-cnn-models-with-beta-normalization-aggregation-for-gastrointestinal-disease-detection}, note = {Accessed: 2026-05-24}}
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