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Automatic kidney segmentation in 3D pediatric ultrasound images using deep neural networks and weighted fuzzy active shape model.

, , , , и . ISBI, стр. 1170-1173. IEEE, (2018)

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Mark Jago

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Three-Dimensional Multi-Frequency Shear Wave Absolute Vibro-Elastography (3D S-WAVE) With a Matrix Array Transducer: Implementation and Preliminary In Vivo Study of the Liver., , , , , , , , , и 2 other автор(ы). IEEE Trans. Medical Imaging, 40 (2): 648-660 (2021)Ultrasonic fatty liver imaging., , и . EUSIPCO, стр. 2591-2595. IEEE, (2015)Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys., , , , и . MICCAI (3), том 9351 из Lecture Notes in Computer Science, стр. 711-718. Springer, (2015)Pediatric Hydronephrosis Severity Assessment Using Convolutional Neural Networks With Standardized Ultrasound Images., , , , , , , , и . ISBI, стр. 1803-1806. IEEE, (2021)Segmentation of kidney in 3D-ultrasound images using Gabor-based appearance models., , , , , и . ISBI, стр. 633-636. IEEE, (2014)Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity., , , , , , , , и . MLMI@MICCAI, том 12966 из Lecture Notes in Computer Science, стр. 366-375. Springer, (2021)Quantification of kidneys from 3D ultrasound in pediatric hydronephrosis., , , , , , и . EMBC, стр. 157-160. IEEE, (2015)Learning-Based US-MR Liver Image Registration with Spatial Priors., , , , , , , , , и 1 other автор(ы). MICCAI (6), том 13436 из Lecture Notes in Computer Science, стр. 174-184. Springer, (2022)Automatic Segmentation of The Renal Collecting System in 3D Pediatric Ultrasound to Assess the Severity of Hydronephrosis., , , , , , и . ISBI, стр. 1717-1720. IEEE, (2019)Semi-automatic assessment of pediatric hydronephrosis severity in 3D ultrasound., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9785 из SPIE Proceedings, стр. 97851Q. SPIE, (2016)