DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM /

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Bibliografiska uppgifter
Huvudupphov:	Kabir, Mohammed shihab
Institutionellt upphov:	Supervised by Dr. Muhammad Tarik Arafat (Assoc. Professor, Dept. of BME, MIST.)
Övriga upphov:	Sadid, Sadman Rahman
Materialtyp:	Bok
Språk:	engelska
Utgiven:	Dhaka : BME DEPT. MIST, c2022.
Ämnen:	Biomedical Engineering This Thesis Paper of BME in B.Sc. Program.
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Liknande verk: DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM /

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EFFECTS OF LEFT CORONARY ARTERY GEOMETRY ON ATHEROSCLEROSIS DEVELOPMENT: A DESIGN OF EXPERIMENT STUDY /
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DEVELOPMENT OF WEARABLE AND PORTABLE CARDIAC ARREST PREDICTION SYSTEM /
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AN ENSEMBLE-BASED ML MODEL TO PREDICT CARDIAC DISEASE /
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COMPUTATIONAL ANALYSIS OF THE EFFECTS OF PLAQUE TYPES AND ITS GEOMETRIC CHRACTERISTICS IN PATIENT-SPECIFIC ATHEROSCLEROTIC CORONARY ARTERY /
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HEMODYNAMIC- STRUCTURAL COUPLED ASSESSMENT OF FLOW DIVERSION STRATEGIES IN CEREBRAL ANEURYSM /
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DESIGN AND DEVELOPMENT OF A COST-EFFECTIVE PORTABLE DEVICE FOR REAL-TIME CARDIAC MONITORING /
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CALCULATION OF STANDARDIZED UPTAKE VALUE (SUV) FROM PET-CT IMAGE BY USING IN-HOUSE DEVELOPED MATLAB SOFTWARE /
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CT-SCAN BASED BRAIN HEMORRHAGE AND MR IMAGE BASED BRAIN TUMOR DETECTION /
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OPTIMIZATION OF PROCESS PARAMETERS TO MAXIMIZE CHITOSAN YIELD EXTRACTED FROM FISH SCALE /
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MULTI-CLASS KIDNEY DISEASE CLASSIFICATION FROM CT IMAGES USING EXPLAINABLE DEEP LEARNING /
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QUANTIFICATION OF PULMONARY EDEMA FROM CHEST RADIOGRAPHS USING DEEP CNN /
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PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /
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COMPARATIVE STUDY BETWEEN POSITRON EMISSION TOMOGRAPHY-COMPUTED TOMOGRAPHY (PET-CT) AND SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY (SPECT) FOR CANCER METASTASIS IN BONES /
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RETINAL OCT DISEASE DETECTION BY IMAGE-BASED DEEP LEARNING /
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ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
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AUTOMATIC HAND GESTURE RECOGNITION USING SEMANTIC SEGMENTATION AND DEEP LEARNING /
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HOSPITAL READMISSION PREDICTION USING MACHINE LEARNING ALGORITHMS /
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A COMPARATIVE INVESTIGATION OF ATTENTION MECHANISMS IN DEEP CNNS FOR MULTI-CLASS CHEST X-RAY DISEASE CLASSIFICATION /
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DEEP LEARNING BASED NECK-MOUNTED MOUTH CAPTURING DEVICE TO CLASSIFY BANGLA SILENT SPEECH /
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ANALYSIS OF THE HEMETOLOGICAL PARAMETERS BETWEEN THALASSEMIA TRAITS (BETA-THALASSEMIA-TRAIT & HB-E TRAIT) AND THE NON-THALASSEMIA CARRIERS IN BANGLADESHI POPULATION /
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PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS /
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DEEP LEARNING APPROACH FOR VLASSIFICATION OF BLOOD AND DETECTION OF BLOOD RELATED DISEASE (LEUKEMIA) USING BLOOD SMEAR IMAGES /
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NUMERICAL ANALYSIS OF BLOOD FLOW THROUGH STENOTIC ARTERY /
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DEVELOPMENT OF BIOPLASTICS FOR BIOMEDICAL APPLICATIONS /