Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study
This study aimed to investigate the diagnostic performance of machine learning-based
radiomics analysis to diagnose coronary artery disease status and risk from rest/stress …
radiomics analysis to diagnose coronary artery disease status and risk from rest/stress …
Myocardial function prediction after coronary artery bypass grafting using mri radiomic features and machine learning algorithms
The main aim of the present study was to predict myocardial function improvement in cardiac
MR (LGE-CMR) images in patients after coronary artery bypass grafting (CABG) using …
MR (LGE-CMR) images in patients after coronary artery bypass grafting (CABG) using …
Dual-centre harmonised multimodal positron emission tomography/computed tomography image radiomic features and machine learning algorithms for non-small cell …
Aims We aimed to build radiomic models for classifying non-small cell lung cancer (NSCLC)
histopathological subtypes through a dual-centre dataset and comprehensively evaluate the …
histopathological subtypes through a dual-centre dataset and comprehensively evaluate the …
Interpretable PET/CT Radiomic Based Prognosis Modeling of NSCLC Recurrent Following Complete Resection
M Amini, S Mostafaei, M Poursamimi… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
This study aimed to develop an interpretable prognostic model with a nomogram for Non-
Small Cell Lung Cancer (NSCLC) recurrence prediction following complete resection, using …
Small Cell Lung Cancer (NSCLC) recurrence prediction following complete resection, using …
PET and CT Information Fusion and Quality Assessment Toward Optimized Radiomic Features Extraction
In this study, we performed two experiments to explore radiomic features and multi-modality
medical image fusion (IF). In the first experiment, we investigated the performance of …
medical image fusion (IF). In the first experiment, we investigated the performance of …