Home ›
Entities
› academia
› Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios
Research article (Journal of Digital Imaging, 2023) · cited 22× · AI/ML
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios
Summary
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios is a scholarly article[1].
Key Facts
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios'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). Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-convolutional-neural-networks-in-medical-imaging-classification-a-promising-solution-for-deep-learning-limits-i
MLA“Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-convolutional-neural-networks-in-medical-imaging-classification-a-promising-solution-for-deep-learning-limits-i.
BibTeX@misc{4ortxyz_bayesian-convolutional-neural-networks-in-medical-imaging-classification-a-promising-solution-for-deep-learning-limits-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-convolutional-neural-networks-in-medical-imaging-classification-a-promising-solution-for-deep-learning-limits-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios — https://4ort.xyz/entity/bayesian-convolutional-neural-networks-in-medical-imaging-classification-a-promising-solution-for-deep-learning-limits-i (retrieved 2026-05-24)
