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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 …
Post-revascularization ejection fraction prediction for patients undergoing percutaneous coronary intervention based on myocardial perfusion SPECT imaging …
In this study, the ability of radiomics features extracted from myocardial perfusion imaging
with SPECT (MPI-SPECT) was investigated for the prediction of ejection fraction (EF) post …
with SPECT (MPI-SPECT) was investigated for the prediction of ejection fraction (EF) post …
Recognition of Diabetic Retina Patterns using Machine Learning
P Chhabra, PK Bhatia - The Future of Computing: Ubiquitous …, 2024 - benthamdirect.com
Medical images contain data related to the diseases and it should be interpreted accurately.
However, its visual interpretation is quite complex/timeconsuming and only medical experts …
However, its visual interpretation is quite complex/timeconsuming and only medical experts …