Leveraging Clinically Relevant Biometric Constraints To Supervise A Deep Learning Model For The Accurate Caliper Placement To Obtain Sonographic Measurements Of The Fetal Brain

Multiple studies have demonstrated that obtaining standardized fetal brain biometry from mid-trimester ultrasonography (USG) examination is key for the reliable assessment of fetal neurodevelopment and the screening of central nervous system (CNS) anomalies. Obtaining these measurements is highly su...

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Veröffentlicht in:	arXiv.org 2022-07
Hauptverfasser:	Shankar, Hari, Narayan, Adithya, Jain, Shefali, Singh, Divya, Vyas, Pooja, Hegde, Nivedita, Kar, Purbayan, Lad, Abhi, Thang, Jens, Atada, Jagruthi, Nguyen, Duy, Roopa, P S, Vasudeva, Akhila, Radhakrishnan, Prathima, Devalla, Sripad Krishna
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Biometrics Brain Central nervous system Computer Science - Computer Vision and Pattern Recognition Constraint modelling Data augmentation Deep learning Placement Sonograms
Online-Zugang:	Volltext
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