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Machine Learning based Analysis and Detection of Malaria Disease: Malaria Disease Detection - Couverture souple
Synopsis
Malaria has been a well-researched domain over the last 2 decades. While clinical research pertaining to curing of Malaria has been majorly conclusive, detection of malaria parasite in digitized thin blood smear image still stands open for investigation. Manual investigation of malaria parasite in thin blood smear image stands tedious and is liable to be affected by human bias. Herein lies the need for an automated CAD system. The proposed system is aimed to serve as a trustworthy aid to pathologists in malaria parasite detection and subsequent stage/specie interpretation. The system has two broad phases, namely, the initial screening phase and main phase.
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Machine Learning based Analysis and Detection of Malaria Disease
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202524308
ISBN 13 : 9786202524308
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bandyopadhyay Samir KumarProf. Samir Kumar Bandyopadhyay did his Bachelor and Master Degree in Engineering and Medical Science from University of Calcutta. He did three Ph.D. in Medical Science: Cardiology, Breast Cancer, Brain Tumou. N° de réf. du vendeur 385946140
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Machine Learning based Analysis and Detection of Malaria Disease
Edité par
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10 : 6202524308
ISBN 13 : 9786202524308
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Malaria has been a well-researched domain over the last 2 decades. While clinical research pertaining to curing of Malaria has been majorly conclusive, detection of malaria parasite in digitized thin blood smear image still stands open for investigation. Manual investigation of malaria parasite in thin blood smear image stands tedious and is liable to be affected by human bias. Herein lies the need for an automated CAD system. The proposed system is aimed to serve as a trustworthy aid to pathologists in malaria parasite detection and subsequent stage/specie interpretation. The system has two broad phases, namely, the initial screening phase and main phase. 172 pp. Englisch. N° de réf. du vendeur 9786202524308
Quantité disponible : 2 disponible(s)
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Machine Learning based Analysis and Detection of Malaria Disease : Malaria Disease Detection
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202524308
ISBN 13 : 9786202524308
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Malaria has been a well-researched domain over the last 2 decades. While clinical research pertaining to curing of Malaria has been majorly conclusive, detection of malaria parasite in digitized thin blood smear image still stands open for investigation. Manual investigation of malaria parasite in thin blood smear image stands tedious and is liable to be affected by human bias. Herein lies the need for an automated CAD system. The proposed system is aimed to serve as a trustworthy aid to pathologists in malaria parasite detection and subsequent stage/specie interpretation. The system has two broad phases, namely, the initial screening phase and main phase. N° de réf. du vendeur 9786202524308
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Machine Learning based Analysis and Detection of Malaria Disease
Edité par
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10 : 6202524308
ISBN 13 : 9786202524308
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -Malaria has been a well-researched domain over the last 2 decades. While clinical research pertaining to curing of Malaria has been majorly conclusive, detection of malaria parasite in digitized thin blood smear image still stands open for investigation. Manual investigation of malaria parasite in thin blood smear image stands tedious and is liable to be affected by human bias. Herein lies the need for an automated CAD system. The proposed system is aimed to serve as a trustworthy aid to pathologists in malaria parasite detection and subsequent stage/specie interpretation. The system has two broad phases, namely, the initial screening phase and main phase.Books on Demand GmbH, Überseering 33, 22297 Hamburg 172 pp. Englisch. N° de réf. du vendeur 9786202524308
Quantité disponible : 2 disponible(s)