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

Enregistré dans:

Détails bibliographiques
Auteur principal:	Jannat, Mst. Rafia
Collectivité auteur:	Supervised by Akid Ornob (Asst. Professor, Dept. of BME, MIST.)
Autres auteurs:	Islam, Md. Sakib Bin
Format:	Livre
Langue:	anglais
Publié:	Dhaka : BME DEPT. MIST, c2023.
Sujets:	Biomedical Engineering This Thesis Paper of BME in B.Sc Program.
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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

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