An extensive generative framework and multiphasic verification strategy for synthesising CT images of diverse anatomies: towards the utilisation for in silico clinical trials

The conventional approach of testing the safety and efficacy of medical devices/drugs is done through clinical trials. These trials are time-consuming, expensive and pose ethical issues. In Silico Clinical Trials (ISCTs) leverage computer simulations to assess medical devices or drugs by replicating...

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主要な著者:	Rajarajeswari Ganesan, Sina Amirrajab, Cian M. Scannell, Hester A. Gietema, Sjeng Quicken, Antonino A. La Mattina, Tim A. E. J. Boymans, Frans N. van de Vosse, Wouter Huberts
フォーマット:	Artigo
言語:	Inglês
出版事項:	Taylor & Francis Group 2025-12-01
シリーズ:	Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
主題:	Generative adversarial networks CT imaging lungs femur in silico clinical trials
オンライン･アクセス:	https://www.tandfonline.com/doi/10.1080/21681163.2025.2563726
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