Könyv Glaucoma Diseased Image Classification Using Different Classifiers Nilima Patil

Glaucoma Diseased Image Classification Using Different Classifiers

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
12 105 Ft
The recent advance in glaucoma classication method and improvements in the ac- curacy of classicatio...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2018
oldal
80
EAN
9786139827893
Enbook ID
19609147
Súly
127
Méretek
152 x 229 x 5

Teljes leírás

The recent advance in glaucoma classication method and improvements in the ac- curacy of classication. Glaucoma is the wrost eye disease it results into permanent blindness so to avoid blindness early detection of glaucoma is essential. Our research is focused automated classication system for the identication of disease, it is used to extract textural features from retinal images which are use to distinguish between normal and infected diseased samples. The eectiveness is gauged of the resultant ranked and selected subsets of features using a support vector machine, sequential minimal optimization, random forest, and Nave Bayes classication techniques. This represents detailed review on existing classication approaches that have applied to glaucoma classication. We observed an accuracy of around 94 % using SVM classifier.

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