Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs

Author:

Vitale SantiagoORCID,Orlando José Ignacio,Iarussi Emmanuel,Larrabide Ignacio

Funder

Fondo para la Investigación Científica y Tecnológica

Vienna Science and Technology Fund

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Reference30 articles.

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2. Behboodi B, Rivaz H (2019) Ultrasound segmentation using u-net: learning from simulated data and testing on real data. arXiv:1904.11031

3. Cohen JP, Luck M, Honari S (2018) Distribution matching losses can hallucinate features in medical image translation. arXiv:1805.08841

4. D’Amato JP, Lo Vercio L, Rubí P, Fernández Vera E, Barbuzza R, del Fresno M, Larrabide I (2015) Efficient scatter model for simulation of ultrasound images from computed tomography data. In: 11th International symposium on medical information processing and analysis, vol 9681. International Society for Optics and Photonics, p 968105

5. De Leeuw JR (2015) jspsych: a JavaScript library for creating behavioral experiments in a web browser. Behav Res Methods 47(1):1–12

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