tailieuchung - Machine learning based MRI radiomics models for early detection of radiationinduced brain injury in nasopharyngeal carcinoma

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Machine learning based MRI radiomics models for early detection of radiationinduced brain injury in nasopharyngeal carcinoma

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Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinoma (NPC) is clinically challenging, and prediction models of RTLI are lacking. Hence, we aimed to develop radiomic models for early detection of RTLI. | Machine learning based MRI radiomics models for early detection of radiationinduced brain injury in nasopharyngeal carcinoma

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Machine learning based MRI radiomics models for early detection of radiationinduced brain injury in nasopharyngeal carcinoma

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