scholarly journals Rhesus D Expression Classification on Red Blood Cells using High-Resolution Fluorescence Microscopy and Machine Learning

2016 ◽  
Vol 110 (3) ◽  
pp. 483a
Author(s):  
Sandra Mayr
2008 ◽  
Vol 73A (10) ◽  
pp. 949-957 ◽  
Author(s):  
Garth J. Williams ◽  
Eric Hanssen ◽  
Andrew G. Peele ◽  
Mark A. Pfeifer ◽  
Jesse Clark ◽  
...  

Author(s):  
K. Kranthi Kumar, Et. al.

Machine learning can be a technique of nursing lysis that automatically develops an analytical model. It is a branch of synthetic intelligence that believes that systems are going to learn information, determine patterns of information and decide with degraded human intervention. Machine learning addresses the question of how computers can be constructed that improve mechanically through knowledge. It lies at the intersection of technology and statistics and at the center of artificial data and information science, one in all the quickest increasing technical fields of nowadays. Recent advances in machine learning were driven by the event of latest learning and theories also as by the constant explosion. The event of latest learning algorithms and also theory and the in-progress growth within the accessibility of on-line information also as low-priced computation crystal rectifier to recent progress within the field of machine learning. Additional evidence-based decision-making could be carried out in science, technology and trade, including healthcare, production, education and monetary modelling, enforcement and promotion, with adoption of mechanical learning techniques based on data-intensive methods. The results are also available. The infection can be a life-threatening disease. The bite of a nursing partner is often transmitted in dipterous Anopheles. In infected mosquitoes, plasmodium parasite is a gift. The parasite is discharged into your blood after you bite this dipterous insect once it bites you. Once your body is composed of the parasites, they mature into the liver. The mature parasites enter the blood for several days when red blood cells start to infect. In red blood cells, parasites increase over 48-72 hours, causing infected cells to divide. The parasites still infect red blood cells, which last 2 to 3 days in cycles. This paper is used for observation of protozoan infection with a deep learning idea.


2018 ◽  
Vol 11 (9) ◽  
pp. e201800101 ◽  
Author(s):  
Taesik Go ◽  
Jun H. Kim ◽  
Hyeokjun Byeon ◽  
Sang J. Lee

2006 ◽  
Vol 45 (9) ◽  
pp. 1964 ◽  
Author(s):  
Ioan Turcu ◽  
Cristian V. L. Pop ◽  
Silvia Neamtu

2014 ◽  
Vol 46 (1) ◽  
pp. 76-83 ◽  
Author(s):  
Katarzyna M. Marzec ◽  
Anna Rygula ◽  
Bayden R. Wood ◽  
Stefan Chlopicki ◽  
Malgorzata Baranska

Author(s):  
Vladimir Turzhitsky ◽  
Lianyu Guo ◽  
Le Qiu ◽  
Alla Turshudzhyan ◽  
Edward Vitkin ◽  
...  

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