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Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis
Research article (Computer Methods and Programs in Biomedicine, 2015) · cited 41× · AI/ML
Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis
Summary
Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis is a scholarly article[1].
Key Facts
Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-intelligent-systems-based-on-bayesian-regularization-network-and-neuro-fuzzy-models-for-mass-detection-in
MLA“Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-intelligent-systems-based-on-bayesian-regularization-network-and-neuro-fuzzy-models-for-mass-detection-in.
BibTeX@misc{4ortxyz_development-of-intelligent-systems-based-on-bayesian-regularization-network-and-neuro-fuzzy-models-for-mass-detection-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-intelligent-systems-based-on-bayesian-regularization-network-and-neuro-fuzzy-models-for-mass-detection-in}, note = {Accessed: 2026-05-24}}
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