Radiomics-Based Prediction of Overall Survival in Lung Cancer Using Different Volumes-Of-Interest

Radiomics-Based Prediction of Overall Survival in Lung Cancer Using Different Volumes-Of-Interest

Lung cancer accounts for the largest amount of deaths worldwide with respect to the other oncological pathologies. To guarantee the most effective cure to patients for such aggressive tumours, radiomics is increasing as a novel and promising research field that aims at extracting knowledge from data...

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Bibliographic Details
Main Authors: Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli, Lorenzo Tronchin, Carlo Greco, Michele Fiore, Alessia Carnevale, Giulio Iannello, Sara Ramella, Paolo Soda
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
radiomics
NSCLC
Local Binary Patterns
multi-VOI analysis
Online Access:https://www.mdpi.com/2076-3417/10/18/6425

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https://www.mdpi.com/2076-3417/10/18/6425

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