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Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging
Research article (Medical Physics, 2019) · cited 99× · AI/ML
Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging
Summary
Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging is a scholarly article[1].
Key Facts
Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-approaches-using-2d-and-3d-convolutional-neural-networks-for-generating-male-pelvic-synthetic-computed-tom
MLA“Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-approaches-using-2d-and-3d-convolutional-neural-networks-for-generating-male-pelvic-synthetic-computed-tom.
BibTeX@misc{4ortxyz_deep-learning-approaches-using-2d-and-3d-convolutional-neural-networks-for-generating-male-pelvic-synthetic-computed-tom_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-approaches-using-2d-and-3d-convolutional-neural-networks-for-generating-male-pelvic-synthetic-computed-tom}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging — https://4ort.xyz/entity/deep-learning-approaches-using-2d-and-3d-convolutional-neural-networks-for-generating-male-pelvic-synthetic-computed-tom (retrieved 2026-05-24)
