Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN
Summary
Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN is a scholarly article[1].
Key Facts
Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-segmentation-and-location-learning-of-neonatal-cerebral-ventricles-in-3d-ultrasound-data-combining-cnn-and-cpp
MLA“Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-segmentation-and-location-learning-of-neonatal-cerebral-ventricles-in-3d-ultrasound-data-combining-cnn-and-cpp.
BibTeX@misc{4ortxyz_automatic-segmentation-and-location-learning-of-neonatal-cerebral-ventricles-in-3d-ultrasound-data-combining-cnn-and-cpp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-segmentation-and-location-learning-of-neonatal-cerebral-ventricles-in-3d-ultrasound-data-combining-cnn-and-cpp}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN — https://4ort.xyz/entity/automatic-segmentation-and-location-learning-of-neonatal-cerebral-ventricles-in-3d-ultrasound-data-combining-cnn-and-cpp (retrieved 2026-05-24)