Development and Practical Implementation of a Deep Learning-Based Pipeline for Automated Pre- and Postoperative Glioma Segmentation

Quantitative volumetric segmentation of gliomas has important implications for diagnosis, treatment, and prognosis. We present a deep-learning model that accommodates automated preoperative and postoperative glioma segmentation with a pipeline for clinical implementation. Developed and engineered in...

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Veröffentlicht in:	American journal of neuroradiology : AJNR 2022-01, Vol.43 (1), p.24-32
Hauptverfasser:	Lotan, E, Zhang, B, Dogra, S, Wang, W D, Carbone, D, Fatterpekar, G, Oermann, E K, Lui, Y W
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Brain Deep Learning Editor's Choice Functional Glioma - diagnostic imaging Glioma - surgery Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Postoperative Period
Online-Zugang:	Volltext
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