Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs
Kushal Mehta; Arshita Jain; Jayalakshmi Mangalagiri; Sumeet Menon; Phuong Nguyen; David R. Chapman · 2020 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
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Abstract (excerpt)
We present a hybrid algorithm to estimate lung nodule malignancy that combines imaging biomarkers from Radiologist's annotation with image classification of CT scans. Our algorithm employs a 3D Convolutional Neural Network (CNN) as well as a Random Forest in order to combine CT imagery with biomarker annotation and volumetric radiomic features. We analyze and compare the performance of the algorithm using only imagery, only biomarkers, combined imagery + biomarkers, combined imagery + volumetric radiomic features and finally the combination of imagery + biomarkers + volumetric features in orde
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Metadata source: arXiv