作者
Leonard Knoedler, Jan Odenthal, Lukas Prantl, Berkin Oezdemir, Andreas Kehrer, Martin Kauke-Navarro, Dany Y Matar, Doha Obed, Adriana C Panayi, P Niclas Broer, Christian Chartier, Samuel Knoedler
发表日期
2023/5/1
期刊
Journal of Plastic, Reconstructive & Aesthetic Surgery
卷号
80
页码范围
94-101
出版商
Churchill Livingstone
简介
Background
While the buttock region is considered an esthetic hallmark, the Brazilian butt lift (BBL) remains controversially discussed in the plastic surgery community. This is due to its contentious safety profile. Thus, informed consent and patient education play a key role in preoperative planning. To this end, we aimed to program an easy-to-use, widely accessible, and low-budget algorithm that produces reliable outcome simulations.
Methods
The conditional generative adversarial network (GAN) was trained using pre- and postoperative images from 1628 BBL patients. To validate outcome simulation, 25 GAN-generated images were assessed deploying 67 Amazon Mechanical Turk Workers (Mturks).
Results
Mturks could not differentiate between GAN-generated and real patient images in approximately 49.4% of all trials.
Conclusion
This study presents a free-to-use, widely accessible, and reliable algorithm to …
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L Knoedler, J Odenthal, L Prantl, B Oezdemir, A Kehrer… - Journal of Plastic, Reconstructive & Aesthetic Surgery, 2023