Concepedia

Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue

Linda C. Chu, Seyoun Park, Satomi Kawamoto, Daniel Fadaei Fouladi, Shahab Shayesteh, Eva S. Zinreich, Jefferson S. Graves, Karen M. Horton, Ralph H. Hruban, Alan Yuille,

American Journal of Roentgenology · 2019 · 190 citations · 27 references

DOI

Concepts

Abstract

Radiomics features extracted from whole pancreas can be used to differentiate between CT cases from patients with PDAC and healthy control subjects with normal pancreas.

References

27

Random Forests

Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text

Cancer statistics, 2017

Rebecca L. Siegel, Kimberly D. Miller, Ahmedin Jemal · CA A Cancer Journal for Clinicians · 2017 · 15K citations · Full text

, , +16

SEER Cancer Statistics Review, 1975-2003

Lynn A. G. Ries, D. Harkins, Martin Krapcho et al. · ScholarWorks - Georgia State University (Georgia State University) · 2006 · 11.5K citations · Full text

, , +12

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

Fuhui Long, Chen Ding · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 10.5K citations

, , +16

Marching cubes: A high resolution 3D surface construction algorithm

William E. Lorensen, H. E. Cline · 1987 · 10.2K citations · Full text

, , +17