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Potential for computer‐aided diagnosis using a convolutional neural network algorithm to diagnose fat‐poor angiomyolipoma in enhanced computed tomography and T2‐weighted magnetic resonance imaging
Research article (International Journal of Urology, 2018) · cited 17× · AI/ML
Potential for computer‐aided diagnosis using a convolutional neural network algorithm to diagnose fat‐poor angiomyolipoma in enhanced computed tomography and T2‐weighted magnetic resonance imaging
Summary
Potential for computer‐aided diagnosis using a convolutional neural network algorithm to diagnose fat‐poor angiomyolipoma in enhanced computed tomography and T2‐weighted magnetic resonance imaging is a scholarly article[1].
Key Facts
Potential for computer‐aided diagnosis using a convolutional neural network algorithm to diagnose fat‐poor angiomyolipoma in enhanced computed tomography and T2‐weighted magnetic resonance imaging's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Potential for computer‐aided diagnosis using a convolutional neural network algorithm to diagnose fat‐poor angiomyolipoma in enhanced computed tomography and T2‐weighted magnetic resonance imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/potential-for-computeraided-diagnosis-using-a-convolutional-neural-network-algorithm-to-diagnose-fatpoor-angiomyolipoma-
MLA“Potential for computer‐aided diagnosis using a convolutional neural network algorithm to diagnose fat‐poor angiomyolipoma in enhanced computed tomography and T2‐weighted magnetic resonance imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/potential-for-computeraided-diagnosis-using-a-convolutional-neural-network-algorithm-to-diagnose-fatpoor-angiomyolipoma-.
BibTeX@misc{4ortxyz_potential-for-computeraided-diagnosis-using-a-convolutional-neural-network-algorithm-to-diagnose-fatpoor-angiomyolipoma-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Potential for computer‐aided diagnosis using a convolutional neural network algorithm to diagnose fat‐poor angiomyolipoma in enhanced computed tomography and T2‐weighted magnetic resonance imaging}}, year = {2026}, url = {https://4ort.xyz/entity/potential-for-computeraided-diagnosis-using-a-convolutional-neural-network-algorithm-to-diagnose-fatpoor-angiomyolipoma-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Potential for computer‐aided diagnosis using a convolutional neural network algorithm to diagnose fat‐poor angiomyolipoma in enhanced computed tomography and T2‐weighted magnetic resonance imaging — https://4ort.xyz/entity/potential-for-computeraided-diagnosis-using-a-convolutional-neural-network-algorithm-to-diagnose-fatpoor-angiomyolipoma- (retrieved 2026-05-24)
