DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM /
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلف مشترك: | |
| مؤلفون آخرون: | |
| التنسيق: | كتاب |
| اللغة: | الإنجليزية |
| منشور في: |
Dhaka :
BME DEPT. MIST,
c2022.
|
| الموضوعات: | |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة: 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 /
- AN ENSEMBLE-BASED ML MODEL TO PREDICT CARDIAC DISEASE /
- DEVELOPMENT OF WEARABLE AND PORTABLE CARDIAC ARREST PREDICTION SYSTEM /
- 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 /