Beschreibung
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.
Autorenporträt
Prof. 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 Tumour. He has been teaching and research experience over 40 years. Prof. published a number of books in Engineering as well as in Medical Science.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
