@article{Meléndez_González_2021, title={None of these embryos exist in real life. Generating images of embryos.}, volume={38}, url={/index.php/rif/article/view/38}, abstractNote={<div class="page" title="Page 2"> <div class="layoutArea"> <div class="column"> <p>This paper illustrates how artificial intelligence (AI) and image processing can be used to generate artificial data in the field of fertility. Access to data is in general problematic for researchers and academics in all areas, but when dealing with medical data, this becomes even more challenging, sometimes blocking developments and innovations in the field. Ge- nerating artificial data for training algorithms has gained importance since it allows for large availability and control over the data. In this paper we explore GANs to generate images of embryos, emulating those taken from an incubator which can help to generate training data for algorithms, and even for specialists.</p> </div> </div> </div>}, number={3 Julio-Agosto-Septiembre}, journal={Revista Iberoamericana de Fertilidad y Reproducción Humana}, author={Meléndez, Francho and González, Sergio}, year={2021}, month={Oct.} }