High‐level feature‐guided attention optimized neural network for neonatal lateral ventricular dilatation prediction

Background Periventricular‐intraventricular hemorrhage can lead to posthemorrhagic ventricular dilatation or even posthemorrhagic hydrocephalus if not detected promptly. Sequential cranial ultrasound scans are typically used for their diagnoses. Nonetheless, manual image audit has numerous disadvant...

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Veröffentlicht in:	Medical physics (Lancaster) Jg. 51; H. 12; S. 9345 - 9357
Hauptverfasser:	Peng, Yulin, Liu, Dongmei, Deng, Ying, Zhang, Meixiang, Yan, Lingyu, Luo, Yingchun, Yan, Junyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.12.2024
Schlagworte:	cerebral intraventricular hemorrhage deep learning Dilatation, Pathologic - diagnostic imaging high‐level Humans Image Processing, Computer-Assisted - methods Infant, Newborn Lateral Ventricles - diagnostic imaging Neural Networks, Computer Ultrasonography deep learning cerebral intraventricular hemorrhage ultrasonography high‐level
ISSN:	0094-2405, 2473-4209, 2473-4209
Online-Zugang:	Volltext
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