Deep Learning Approaches for Automated Prediction of Treatment Response in Non-Small-Cell Lung Cancer Patients Based on CT and PET Imaging

The rapid growth of artificial intelligence, particularly in the field of deep learning, has opened up new advances in analyzing and processing large and complex datasets. Prospects and emerging trends in this area engage the development of methods, techniques, and algorithms to build autonomous sys...

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Bibliographic Details
Main Authors:	Randy Guzmán Gómez, Guadalupe Lopez Lopez, Victor M. Alvarado, Froylan Lopez Lopez, Eréndira Esqueda Cisneros, Hazel López Moreno
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Tomography
Subjects:	deep learning lung cancer treatment response CT imaging PET imaging morphology analysis metabolic analysis
Online Access:	https://www.mdpi.com/2379-139X/11/7/78
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Deep Learning Approaches for Automated Prediction of Treatment Response in Non-Small-Cell Lung Cancer Patients Based on CT and PET Imaging

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