Medical Image Recognition of Heart Regions by Deep Multi-Layered GMDH-Type Neural Network Using Principal Component-Regression Analysis
نویسندگان
چکیده
منابع مشابه
Modelling of some soil physical quality indicators using hybrid algorithm principal component analysis - artificial neural network
One of the important issues in the analysis of soils is to evaluate their features. In estimation of the hardly available properties, it seems the using of Data mining is appropriate. Therefore, the modelling of some soil quality indicators, using some of the early features of soil which have been proved by some researchers, have been considered. For this purpose, 140 disturbed and 140 undistur...
متن کاملFeedback Gmdh-type Neural Network and Its Application to Medical Image Analysis of Liver Cancer
A feedback Group Method of Data Handling (GMDH)-type neural network algorithm is proposed, and is applied to nonlinear system identification and medical image analysis of liver cancer. In this feedback GMDH-type neural network algorithm, the optimum neural network architecture is automatically selected from three types of neural network architectures, such as sigmoid function neural network, ra...
متن کاملMedical Image Registration and Fusion Using Principal Component Analysis
Principal Component Analysis (PCA) is widely used in the field of medical image processing. In this paper, PCA is applied to align and fuse the images. When alignment, first, the centroids of the static and moving images are derived by computing the image moments and taken as the translation values for registration, then the subtraction of two rotation angles produced by using PCA to solve the ...
متن کاملFace Recognition Using Principal Component Analysis and Neural Networks
Security and authentication of a person is a crucial part of any industry. There are many techniques used for this purpose. One of them is face recognition. Face recognition is an effective means of authenticating a person. The advantage of this approach is that, it enables us to detect changes in the face pattern of an individual to an appreciable extent. The recognition system can tolerate lo...
متن کاملImage compression using principal component neural networks
Principal component analysis (PCA) is a well-known statistical processing technique that allows to study the correlations among the components of multivariate data and to reduce redundancy by projecting the data over a proper basis. The PCA may be performed both in a batch method and in a recursive fashion; the latter method has been proven to be very effective in presence of high dimension dat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Robotics, Networking and Artificial Life
سال: 2015
ISSN: 2352-6386
DOI: 10.2991/jrnal.2015.2.3.7