ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /

Tallennettuna:

Bibliografiset tiedot
Päätekijä:	Halder, Rathin
Yhteisötekijä:	Supervised by Dr. Nusrat Sharmin (Assistant Professor, Dept. of CSE, MIST.)
Aineistotyyppi:	Kirja
Kieli:	englanti
Julkaistu:	Dhaka : CSE DEPT. MIST, c2024.
Aiheet:	Computer Science and Engineering. This Thesis Paper of CSE in M.Sc. Program.
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia: ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /

Pikavilkaisu
FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
Pikavilkaisu
DETECTION OF BRAIN TUMORS FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Pikavilkaisu
IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Pikavilkaisu
AUTOMATIC HAND GESTURE RECOGNITION USING SEMANTIC SEGMENTATION AND DEEP LEARNING /
Pikavilkaisu
ADVERSARIAL-AWARE BI-LEVEL UNET AND SEMI-SUPERVISED LEARNING FOR ENHANCING SKIN LESION SEGMENTATION /
Pikavilkaisu
PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /
Pikavilkaisu
INVERSE ANALYSIS OF PAVEMENT LAYER PROPERTIES FROM FALLING WEIGHT DEFLECTOMETER DATA USING MACHINE LEARNING MODELS /
Pikavilkaisu
MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
Pikavilkaisu
ASSESSMENT OF AIR QUALITY DUE TO THE EMISSIONS FROM A COAL-FIRED POWER PLANT USING A DIFFUSION MODEL /
Pikavilkaisu
DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM /
Pikavilkaisu
IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
Pikavilkaisu
Deep learning /
Pikavilkaisu
DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
Pikavilkaisu
INVESTIGATION OF LIGHTENING STROKES DENSITY OVER BANGLADESH AND ITS INFLUENCE ON IONOSPHERIC IRREGULARITIES /
Pikavilkaisu
AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Pikavilkaisu
DEVELOPMENT OF A STROKE PREDICTION SYSTEM BASED ON IOT AND MACHINE LEARNING /
Pikavilkaisu
Deep learning with python /
Pikavilkaisu
INVERSE ANALYSIS OF PAVEMENT LAYER PROPERTIES FROM FALLING WEIGHT DEFLECTOMETER DATA USING MACHINE LEARNING MODELS
Pikavilkaisu
DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
Pikavilkaisu
CLASSIFICATION OF AUTISM SPECTRUM DISORDER FROM RS-FMRI SCANS BY FEATURE REDUCTION ON ENSEMBLE MACHINE LEARNING AND CNN/
Pikavilkaisu
RETINAL VESSEL SEGMENTATION USING MODIFIED U-NET MODEL /
Pikavilkaisu
DESIGN AND DEVELOPMENT OF MATLAB BASED GUI FOR BRAIN TUMOR DETECTION FROM MRI IMAGES /
Pikavilkaisu
ASSESSMENT OF AIR QUALITY DUE TO THE EMISSIONS FROM A COAL-FIRED POWER PLANT USING A DIFFUSION MODEL
Pikavilkaisu
MULTI-CLASS BREAST CANCER DETECTION USING DEEP LEARNING AND QUANTUM ANNEALING-BASED HYPERPARAMETER OPTIMIZATION /