Efficiency in the classification of chest X-ray images through generative parallelization of the Neural Architecture Search

Explore GenNAS for chest X-ray classification in lung diseases, leveraging novel parallel training methods for enhanced accuracy and efficiency. Medical image classification for pulmonary pathologies from chest X-rays is traditionally time-consuming. GenNAS, using GPT-4's generative capabiliti...

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Bibliographic Details
Main Authors: Felix Mejía Cajicá, John Anderson García Henao, Carlos Jaime Barrios Hernandéz, Michel Riveill
Format: Article
Language:English
Published: Universidad San Francisco de Quito USFQ 2025-05-01
Series:ACI Avances en Ciencias e Ingenierías
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Online Access:https://revistas.usfq.edu.ec/index.php/avances/article/view/3707
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