[PDF] Top 20 Medical image registration by neural networks: a regression-based registration approach
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Medical image registration by neural networks: a regression-based registration approach
... patient by image registration to intra-operative imaging data ...data by increasing the accuracy of the stent placement, ...the registration of preoperative 3D computed tomographic ... See full document
199
An hybrid approach based on neural networks and regression Tree Models for fast dynamic security assessment
... achieved by performing on-line and accurate prediction of the system dynamic security for present and future operating scenarios, and also by providing fast preventive control measures when insecurity is ... See full document
6
Predicting the Effects of Medical Waste in the Environment Using Artificial Neural Networks: A Case Study
... is based on a standard statistical technique called kernel ...regression. By definition, the regression of a dependent variable y on an independent x estimates the most probable value for y, ... See full document
4
Medical Image Registration by means of a Bio-Inspired Optimization Strategy
... latter approach introduces a step before the application of the registration process: a reduced sub- set of the most relevant features is extracted from the ...liably approach the variable contrast ... See full document
25
Similarity-based Heterogeneous Neural Networks
... the networks are forced to learn from scratch most of the ...spanned by the hidden units) in such a way that the problem becomes eas- ier (almost linearly separable in the case of the output ... See full document
14
Segmentation and 3D Reconstruction of Animal Tissues in Histological Images
... the registration process started from an image in the middle of the image stack, since the slices closest to the center generally contain more information about the tissue (Roberts et ...the ... See full document
15
A Neural Network Approach to Time Series Forecasting
... We present an improved algorithm, based on GRNN, for the time series forecasting. GRNN is a neural network proposed by Donald F. Specht in 1991 [3]. This algorithm has a number of advantages over ... See full document
5
Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach
... a neural network (NN) approach and a multiple regression modeling approach to model and predict the software development effort based on an available real life dataset which is prepared ... See full document
7
Adaptive Image Pre-processing for Quality Control in Production Lines
... as image blurring or luminosity problems, issues that are not addressed within the rigid supervision ...situations by self-adaptive and self-learning conducts ... See full document
7
LITHOFACIES RECOGNITION BASED ON FUZZY LOGIC AND NEURAL NETWORKS: A METHODOLOGICAL COMPARISON
... Gamma rays (GR) are electromagnetic waves emitted spon- taneously by radioactive elements (e.g. uranium, thorium and potassium) present in rock Formations. It is the natural radioac- tivity of rocks due to their ... See full document
11
Bol. Ciênc. Geod. vol.21 número3
... improved by using semantic description of taxonomy with the two-step matching ...name- based method, only services with the class “Intersect” will be ... See full document
16
Analysis of gated myocardial perfusion SPECT images using computational image registration techniques
... various registration software packages related with this ...software based on ITK is Elastix ...to medical image ...user registration methods since their components can easily be ... See full document
125
COARSE POINT CLOUD REGISTRATION BY EGI MATCHING OF VOXEL CLUSTERS
... A plethora of papers have provided different solutions to the prob- lem of coarse transformation determination (Gressin et al., 2013). Most methodologies identify either feature based or keypoint based ... See full document
7
Robust CPD Algorithm for Non-Rigid Point Set Registration Based on Structure Information.
... Recently, the Coherent Point Drift (CPD) algorithm has become a very popular and efficient method for point set registration. However, this method does not take into consideration the neighborhood structure ... See full document
17
A New Approach for Time Series Forecasting: Bayesian Enhanced by Fractional Brownian Motion with Application to Rainfall Series
... new approach for time series forecasting: Bayesian enhanced by fractional Brownian motion with application to rainfall series is ...inference by local learning approximators in dealing with important ... See full document
8
As redes neurais artificiais e o ensino da medicina.
... that medical practice has undergone in recent years – especially with the incor- poration of new information technologies – point to the need to broaden discussions on the teaching- -learning process in ... See full document
9
Evaluation of Student's Satisfaction toward Online Registration in Urmia University of Medical Sciences
... of Medical Sciences,results concluded that the majority of students were satisfied with the registration process but did not consent to online register ...of registration (70%) of library and ... See full document
4
Cad. Saúde Pública vol.24 número12
... Prospective registration of clinical trials before enrolment of the first participant is an ethi- cal and scientific imperative required by the International Committee of Medical Journal Editors ... See full document
1
Enhancing Manual Scan Registration Using Audio Cues
... processed by editing, fusing, formatting the data, amongst other opera- ...scan registration, reverberation, intensity and frequency audio cues were exploited to help the user estimate depth and occupancy ... See full document
8
CO-REGISTRATION OF TERRESTRIAL AND UAV-BASED IMAGES – EXPERIMENTAL RESULTS
... provide image information from 3D-structures not visible from the other two ...single image might lead to a completely different or wrong solution, or separation of image ... See full document
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