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Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration
Summary
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration is a scholarly article[1].
Key Facts
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration's instance of is recorded as scholarly article[2].
References
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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). Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-segmentation-of-prostate-mri-using-convolutional-neural-networks-investigating-the-impact-of-network-architect
MLA“Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-segmentation-of-prostate-mri-using-convolutional-neural-networks-investigating-the-impact-of-network-architect.
BibTeX@misc{4ortxyz_automatic-segmentation-of-prostate-mri-using-convolutional-neural-networks-investigating-the-impact-of-network-architect_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-segmentation-of-prostate-mri-using-convolutional-neural-networks-investigating-the-impact-of-network-architect}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration — https://4ort.xyz/entity/automatic-segmentation-of-prostate-mri-using-convolutional-neural-networks-investigating-the-impact-of-network-architect (retrieved 2026-05-24)
