Optimized feature selection of nodular and peri‑nodular radiomics for lung cancer risk prediction with ensemble artificial neural networks

SPIE Medical Imaging: Computer-Aided Diagnosis 2026

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Authors: Kevin Knoernschild, Kimberly E. Schroeder, Jacob Kitzmann, Chrissy M. Lusk, Christine M Neslund-Dudas, Ann G. Schwartz, Jessica C. Sieren
DOI: 10.1117/12.3085592
Cited by: 0
References: 10

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Lung Cancer Diagnosis and Treatment AI in cancer detection

Publication details

Journal / source
SPIE Medical Imaging: Computer-Aided Diagnosis
Pages
71–71
Publication date
12 February 2026
Language
EN