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

Kaydedildi:

Detaylı Bibliyografya
Yazar:	Halder, Rathin
Müşterek Yazar:	Supervised by Dr. Nusrat Sharmin (Assistant Professor, Dept. of CSE, MIST.)
Materyal Türü:	Kitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Dhaka : CSE DEPT. MIST, c2024.
Konular:	Computer Science and Engineering. This Thesis Paper of CSE in M.Sc. Program.
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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