AN IMPROVED IDENTIFICATION METHOD OF ABDOMINAL AORTIC ANEURYSM USING EXUDATE SEGMENTATION AND DNN

Changing over the progressing headway of AAA (abdominal aortic aneurysm) advancement and revamping data for judicious treatment needs a noteworthy and computational point of view exhibition framework. As AAA is deadly and rupture disease a powerful treatment is required. An examination setup is built up in this research to calculate the centers around the precise discovery of the AAA picture. The info AAA data is preprocessed to convert the RGB scale into gray scale pictures by utilizing versatile middle channel, additionally the pixels which are adulterated by excessive clamor is also decided. And then exudates based division method is applied before removing the unnecessary featured component from AAA pictures. After the extrication, the best highlights are chosen by utilizing spatial kernel FCM. Lastly so as to order and acknowledgment, profound neural classifier is applied. The proposed framework achieves our point in predicting the AAA progress and in calculating the proliferation weakness. The presentation of our framework is estimated by utilizing exactness, accuracy, f-score and calculation time are used. The examination results demonstrate the superior presentation of the proposed scheme over the current classifiers.