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Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study
Research article (Computerized Medical Imaging and Graphics, 2019) · cited 18× · AI/ML
Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study
Summary
Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study is a scholarly article[1].
Key Facts
Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study's instance of is recorded as scholarly article[2].
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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). Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study. Retrieved May 24, 2026, from https://4ort.xyz/entity/model-free-prostate-cancer-segmentation-from-dynamic-contrast-enhanced-mri-with-recurrent-convolutional-networks-a-feasi
MLA“Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/model-free-prostate-cancer-segmentation-from-dynamic-contrast-enhanced-mri-with-recurrent-convolutional-networks-a-feasi.
BibTeX@misc{4ortxyz_model-free-prostate-cancer-segmentation-from-dynamic-contrast-enhanced-mri-with-recurrent-convolutional-networks-a-feasi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study}}, year = {2026}, url = {https://4ort.xyz/entity/model-free-prostate-cancer-segmentation-from-dynamic-contrast-enhanced-mri-with-recurrent-convolutional-networks-a-feasi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study — https://4ort.xyz/entity/model-free-prostate-cancer-segmentation-from-dynamic-contrast-enhanced-mri-with-recurrent-convolutional-networks-a-feasi (retrieved 2026-05-24)
