Machine Learning Based Analysis by Bandyopadhyay Samir (4 results)

Taschenbuch. Condition: 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.

Taschenbuch. Condition: 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.

Condition: 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.

Taschenbuch. Condition: 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.