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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Vydané v:	Medical physics (Lancaster) Ročník 51; číslo 12; s. 9345 - 9357
Hlavní autori:	Peng, Yulin, Liu, Dongmei, Deng, Ying, Zhang, Meixiang, Yan, Lingyu, Luo, Yingchun, Yan, Junyi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.12.2024
Predmet:	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
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