DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM /
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| Sprog: | engelsk |
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Dhaka :
BME DEPT. MIST,
c2022.
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Lignende værker: DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM /
- EFFECTS OF LEFT CORONARY ARTERY GEOMETRY ON ATHEROSCLEROSIS DEVELOPMENT: A DESIGN OF EXPERIMENT STUDY /
- DEVELOPMENT OF WEARABLE AND PORTABLE CARDIAC ARREST PREDICTION SYSTEM /
- AN ENSEMBLE-BASED ML MODEL TO PREDICT CARDIAC DISEASE /
- COMPUTATIONAL ANALYSIS OF THE EFFECTS OF PLAQUE TYPES AND ITS GEOMETRIC CHRACTERISTICS IN PATIENT-SPECIFIC ATHEROSCLEROTIC CORONARY ARTERY /
- DESIGN AND DEVELOPMENT OF A COST-EFFECTIVE PORTABLE DEVICE FOR REAL-TIME CARDIAC MONITORING /
- CALCULATION OF STANDARDIZED UPTAKE VALUE (SUV) FROM PET-CT IMAGE BY USING IN-HOUSE DEVELOPED MATLAB SOFTWARE /