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Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders
Research article (Biomedical Signal Processing and Control, 2021) · cited 17× · AI/ML
Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders
Summary
Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders is a scholarly article[1].
Key Facts
Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders. Retrieved May 24, 2026, from https://4ort.xyz/entity/cardiovascular-mri-image-analysis-by-using-the-bio-inspired-sand-piper-optimized-fully-deep-convolutional-network-bio-fd
MLA“Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cardiovascular-mri-image-analysis-by-using-the-bio-inspired-sand-piper-optimized-fully-deep-convolutional-network-bio-fd.
BibTeX@misc{4ortxyz_cardiovascular-mri-image-analysis-by-using-the-bio-inspired-sand-piper-optimized-fully-deep-convolutional-network-bio-fd_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders}}, year = {2026}, url = {https://4ort.xyz/entity/cardiovascular-mri-image-analysis-by-using-the-bio-inspired-sand-piper-optimized-fully-deep-convolutional-network-bio-fd}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders — https://4ort.xyz/entity/cardiovascular-mri-image-analysis-by-using-the-bio-inspired-sand-piper-optimized-fully-deep-convolutional-network-bio-fd (retrieved 2026-05-24)
