MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /

Sábháilte in:

Sonraí bibleagrafaíochta
Príomhchruthaitheoir:	Rahman, Md. Mokhlesur
Údar corparáideach:	Supervised by Dr. T. M. Shahriar Sazzad (Asst. Professor, Dept of CSE, MIST)
Formáid:	LEABHAR
Teanga:	Béarla
Foilsithe / Cruthaithe:	Dhaka : CSE DEPT. MIST, c2024.
Ábhair:	Computer Science and Engineering. This Thesis Paper of CSE in M.Sc. Program.
Clibeanna:	Cuir clib leis Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!

Míreanna comhchosúla: MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /

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DETECTION OF BRAIN TUMORS FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
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IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
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AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
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MULTI-CLASS BREAST CANCER DETECTION USING DEEP LEARNING AND QUANTUM ANNEALING-BASED HYPERPARAMETER OPTIMIZATION /
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DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
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MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /
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ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
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DETECTION OF RICE LEAF BLAST DISEASE THROUGH IMAGE PROCESSING AND MACHINE LEARNING APPROACHES /
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BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
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IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
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DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
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DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
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SENTIMENT ANALYSIS OF COVID-19 TWEETS USING MACHINE LEARNING TECHNIQUES /
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PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
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TOWARDS EVELOPING AN IMAGING APPLICATION TO AID PHYSICIANS ANALYZING MRI IMAGES OF BRAIN TUMOR: A MACHINE LEARNING APPROACH THROUGH COMPARATIVE ANALYSIS /
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DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
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FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
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CONVOLUTIONAL NEURAL NETWORK (CNN) FOR DETECTION OF PROSTATE CANCER USING CELL SLIDE IMAGES /
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DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
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A FEDERATED LEARNING AIDED SYSTEM FOR CLASSIFYING CERVICAL CANCER USING PAP-SMEAR IMAGES/
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FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
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APPLICATION OF MACHINE LEARNING IN SORTING NANO PARTICLES CHARACTERIZED BY OPTICAL FORCE /
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MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /
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AUTOMATED IMAGE PROCESSING APPROACH TO DETECT ECTOPIC PREGNANCY USING ULTRASOUND IMAGES /