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Kniha Dengue Infection Classification Using Machine Learning Ragini Deshmukh

Dengue Infection Classification Using Machine Learning

Autor: Ragini Deshmukh, Sheshang Degadwala
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Scholar's Press
Dostupnosť: U vydavateľa na objednávku
Odosielame za 17-27 dní
45.37 €
Aedesaegypti mosquito spared the dengue viral illnesses. The world's greatest developing outbreak is...

Informácie o knihe

Autor
Ragini Deshmukh, Sheshang Degadwala
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2021
Stránok
56
EAN
9783659840135
Enbook ID
38508430
Vydavateľ
Scholar's Press
Rozmery
150 x 220

Kompletný popis

Aedesaegypti mosquito spared the dengue viral illnesses. The world's greatest developing outbreak is dengue fever. Day by day the rate of dengue has become significantly around the globe increases. Dengue infections are of three forms: Dengue fever additionally perceived as "break bone" fever, Dengue Haemorrhagic Fever (DHF), Dengue Shock Syndrome (DSS) which are life debilitating. Doctors need to capture approximately 20 to 50 pictures of white blood cell from different angle to identify the disease. The platelet count is estimated using various segmentation techniques and morphological operations with the help of the platelets count dengue fever infection is detected. A technique used for segmentation are mainly Thresolding based that is not segment exact part of defected platelet. But, the result was not so efficient in providing the spatial detail information of the actual disease part. So here we are going to use Fuzzy based algorithm to segment WBC Platelets. There are different feature extraction methods are apply platelet are size, shape and area. But it was not giving the exact results. So here we are going to use Haralick Features for WBC platelets.

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