Quantitative Computed Tomography Features for Predicting Tumor Recurrence in Patients with Surgically Resected Adenocarcinoma of the Lung

Title
Quantitative Computed Tomography Features for Predicting Tumor Recurrence in Patients with Surgically Resected Adenocarcinoma of the Lung
Authors
Keywords
Computed axial tomography, Adenocarcinomas, Lung and intrathoracic tumors, Adenocarcinoma of the lung, Skewness, Entropy, Secondary lung tumors, Surgical and invasive medical procedures
Journal
PLoS One
Volume 12, Issue 1, Pages e0167955
Publisher
Public Library of Science (PLoS)
Online
2017-01-10
DOI
10.1371/journal.pone.0167955

Ask authors/readers for more resources

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started