Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls.

Linda Chi Hang ChuBerkan SolmazSeyoun ParkSatomi KawamotoAlan L YuilleRalph H HrubanElliot K Fishman

Published in: Abdominal radiology (New York) (2021)

Commercially available and in-house radiomics software achieve similar diagnostic performance, which may lower the barrier of entry for radiomics research and allow more clinician-scientists to perform radiomics research.

Keyphrases

contrast enhanced
lymph node metastasis
deep learning
magnetic resonance imaging
computed tomography
machine learning
data analysis
optical coherence tomography
dual energy
image quality
convolutional neural network
pet ct