DEEP LEARNING APPROACH FOR VLASSIFICATION OF BLOOD AND DETECTION OF BLOOD RELATED DISEASE (LEUKEMIA) USING BLOOD SMEAR IMAGES /

Sábháilte in:

Sonraí bibleagrafaíochta
Príomhchruthaitheoir:	Jannat, Mst. Rafia
Údar corparáideach:	Supervised by Akid Ornob (Asst. Professor, Dept. of BME, MIST.)
Rannpháirtithe:	Islam, Md. Sakib Bin
Formáid:	LEABHAR
Teanga:	Béarla
Foilsithe / Cruthaithe:	Dhaka : BME DEPT. MIST, c2023.
Ábhair:	Biomedical Engineering This Thesis Paper of BME in B.Sc Program.
Clibeanna:	Cuir clib leis Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!

Míreanna comhchosúla: DEEP LEARNING APPROACH FOR VLASSIFICATION OF BLOOD AND DETECTION OF BLOOD RELATED DISEASE (LEUKEMIA) USING BLOOD SMEAR IMAGES /

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TOWARDS SMARTPHONE BASED MICROSCOPY FOR COMPLETE BLOOD CELL ESTIMATION FROM BLOOD SMEAR IMAGES /
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AUTOMATED ANALYSIS OF PATIENT BLOOD SMEAR SAMPLE OBTAINED FROM OPTICAL MICROSCOPY /
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DEVELOPMENT OF BLOOD GLUCOSE MONITORING SYSTEM /
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The Blood Telegram : India's Secret War in East Pakistan /
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DEVELOPMENT OF A MODEL OF BLOOD CIRCULATION FOR LABORATORY PURPOSE /
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AN APPROACH TO OPTIMIZE THE BLOOD SUPPLY CHAIN NETWORK /
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3D PRINTED MICROFLUIDIC DEVICE FOR BLOOD PLASMA SEPARATION /
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RETINAL OCT DISEASE DETECTION BY IMAGE-BASED DEEP LEARNING /
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Umbilical cord blood banking and transplantation /
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NUMERICAL ANALYSIS OF BLOOD FLOW THROUGH STENOTIC ARTERY /
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ESTABLISHMENT OF IN-HOUSE METHODOLOGY FOR DNA EXTRACTION FROM PERIPHERAL BLOOD MONONUCLEAR CELL AND BACTERIAL COLONIES /
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ANALYSIS OF MAGNETIC FIELD EFFECT ON PULSATING BLOOD FLOW IN ARTERIES
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ANALYSIS OF MAGNETIC FIELD EFFECT ON PULSATING BLOOD FLOW IN ARTERIES /
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SKIN DISEASE DETECTION FROM IMAGES USING MACHINE LEARNING ALGORITHMS /
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DESIGN AND ANALYSIS OF METAMATERIAL BASED BIOSENSOR TO DETERMINE BLOOD GLUCOSE CONCENTRATION /
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COMPUTER AIDED SKIN DISEASE DETECTION FROM IMAGE /
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DESIGN AND DEVELOPMENT OF A HANDHELD PORTABLE OCULAR IMAGING DEVICE TO DETECT EYE DISEASE /
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AN INTEGRATED TRANSCRIPTOMIC APPROACH TO IMMUNE PROFILING, HUB GENE DETECTION, AND IDENTIFICATION OF REPURPOSABLE DRUGS IN PANCREATIC CANCER /
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DETECTION OF RICE LEAF BLAST DISEASE THROUGH IMAGE PROCESSING AND MACHINE LEARNING APPROACHES /
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AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
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MULTI-CLASS KIDNEY DISEASE CLASSIFICATION FROM CT IMAGES USING EXPLAINABLE DEEP LEARNING /
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PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /
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A FEDERATED LEARNING AIDED SYSTEM FOR CLASSIFYING CERVICAL CANCER USING PAP-SMEAR IMAGES/
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DETECTING LUNG FIBROSIS IN POST COVID PATENT BY USING TPIM AND FIM /