A different overview of staging PET/CT images in patients with esophageal cancer: the role of textural analysis with machine learning methods.
Journal:
Annals of nuclear medicine
Published Date:
Jun 9, 2021
Abstract
OBJECTIVE: This study evaluates the ability of several machine learning (ML) algorithms, developed using volumetric and texture data extracted from baseline F-FDG PET/CT studies performed initial staging of patient with esophageal cancer (EC), to predict survival and histopathology.