Desktop version
Home
Health
>>
Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing
Introduction
Comparison Between 2D and 3D Techniques in Medical Imaging
Importance of 3D Medical Image
Medical Imaging Types and Modalities
Computer Vision System Works in 3D Image Analysis
Various Techniques in 3D Image Processing in Medical Imaging
Types of Medical Imaging Compressed by 3D Medical Visualization
D Ultrasound Shortens The Imaging Development
Conclusion
References
Automated Epilepsy Seizure Detection from EEG Signals Using Deep CNN Model
Introduction
Materials and Methodology
Dataset. Normalization
Convolution Neural Network (CNN)
Result and Discussions
Experiment 1: 10-Fold Cross Validation on 90:10 Ratio
Experiment 2: Training and Testing Ratio Variation
Conclusion
References
Medical Image De-Noising Using Combined Bayes Shrink and Total Variation Techniques
Introduction
Literature Review
Theoretical Analysis
Total Variation Technique
Pixel Level DTCWT Image Fusion Technique
Performance Evaluation Parameters
Methodology
Results And Discussion
Conclusions And Future Scope
References
Detection of Nodule and Lung Segmentation Using Local Gabor XOR Pattern in CT Images
Introduction
Histories
Concepts
Causes for Lung Cancer
Solution Methodology With Mathematical Formulations
Morphological Operation
Conclusions and Future Work
References
Medical Image Fusion Using Adaptive Neuro Fuzzy Inference System
Introduction
Overview
Digital Image
Types of Digital Images
Medical Imaging Type
Image Fusion
Literature Survey
A Brief History about Literature Survey
Solution Methodology
Proposed Methodology
Applying to ANFIS
Result and Discussion
Conclusion and Future Scope
References
Medical Imaging in Healthcare Applications
Introduction
Image Modalities
PET Scan
Ultrasound
MRI Scan
CT Scan
Recent Trends in Healthcare Technology
Scope for Future Work
Conclusions
References
Classification of Diabetic Retinopathy by Applying an Ensemble of Architectures
Introduction
Literature Survey
Method and Data
Results
Conclusion
References
Compression of Clinical Images Using Different Wavelet Function
Introduction: Background and Need of Compression
Terminology UtilizeD for Implementation
Proposed Algorithm
Calculation for Picture Compression Utilizing Wavelet
Input Image
Compression Decompression and Filters
Compression
Image Reconstruction
Performance Analysis
Implementation and Result
Analysis of CT Scan Images
Wavelet Haar Function Is Used
Conclusion
References
PSO-Based Optimized Machine Learning Algorithms for the Prediction of Alzheimer's Disease
Introduction
Related Work
Material and Methods
Proposed Workflow
Database
Data Pre-processing
Particle Swarm Optimization (PSO) Techniques
Machine Learning Models
Experimental Results
Discussion
Conclusion
References
Parkinson's Disease Detection Using Voice Measurements
Introduction
Literature Survey
Parkinson's Syndromes
Symptoms
Causes
Threat Causes
Complications
Methodologies Used in Present Work
Machine Learning (ML) and Artificial Intelligence (AI)
Ensemble Learning
Advantages
Data Drive Machine Learning
Architecture
Proposed System
Testing
Conclusion and Future Enhancements
References
Speech Impairment Using Hybrid Model of Machine Learning
Introduction
Types of Classifier
Related Work
Proposed Work
Results and Discussions
Conclusion
References
Advanced Ensemble Machine Learning Model for Balanced BioAssays
Introduction
Related Work
Proposed Work
Experimental Investigation
Results
Conclusion
References
Lung Segmentation and Nodule Detection in 3D Medical Images Using Convolution Neural Network
Introduction
Review of Literature
Rationale of the Study
Morphological Processing of the Digital Image
Objectives of Study
Proposed Methodology
Expected Outcome of Research Work
Conclusion and Future work
References
>>
Related topics
Academic library - free online college e textbooks - info{at}ebrary.net - © 2014 - 2023