Intelligent Fractal-Based Image Analysis -
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Résumé : Part 1: Intelligent Fractal-Based Image Analysis
Introduction to Intelligent Fractal-Based Image Analysis - Editors
1.1 Insights into Intelligent Fractal-Based Image Analysis with Pattern Recognition
1.2 Analysis of Mandelbrot Set Fractal Images Using Machine Learning Based Approach
1.3 Chaos-based Image Encryption1.4 Fractal Feature-based Image Classification
Part 2: Recognition Model Using Fractal Features
2.1 The study of Source Image and its Futuristic Quantum Applications: An insight from Fractal Analysis
2.2 Wavelet Multifractal Characterization of Anisotropic Oscillating Singularities and Application in Nanomaterials
2.3 GID-Net: Generic Image Denoising using Convolutional Auto-encoders
2.4 Geometrical Description of Image Analysis Using Fractal Theory
Part 3: Fractals in Disease Identification and Control
3.1 Fractal Theory and the Explainable Artificial Intelligence of Cancer Medical Imaging
3.2 Computational Complexity of Multifractal Models-based MRI Image Processing for Subgroups of Multiple Sclerosis Patients' Diagnosis and Course in Precision Medicine
3.3 AI-Stochastic Fractal Analysis of the Alzheimer disease (AD) Medical Images
3.4 Preliminary Study of Retinal Lesions Classification on Rational Fundus Images for the Diagnosis of Retinal Diseases
Sommaire: Part 1: Intelligent Fractal-Based Image Analysis Introduction to Intelligent Fractal-Based Image Analysis - Editors 1.1 Insights into Intelligent Fractal-Based Image Analysis with Pattern Recognition 1.2 Analysis of Mandelbrot Set Fractal Images Using Machine Learning Based Approach 1.3 Chaos-based Image Encryption1.4 Fractal Feature-based Image Classification Part 2: Recognition Model Using Fractal Features 2.1 The study of Source Image and its Futuristic Quantum Applications: An insight from Fractal Analysis 2.2 Wavelet Multifractal Characterization of Anisotropic Oscillating Singularities and Application in Nanomaterials 2.3 GID-Net: Generic Image Denoising using Convolutional Auto-encoders 2.4 Geometrical Description of Image Analysis Using Fractal Theory Part 3: Fractals in Disease Identification and Control 3.1 Fractal Theory and the Explainable Artificial Intelligence of Cancer Medical Imaging 3.2 Computational Complexity of Multifractal Models-based MRI Image Processing for Subgroups of Multiple Sclerosis Patients' Diagnosis and Course in Precision Medicine 3.3 AI-Stochastic Fractal Analysis of the Alzheimer disease (AD) Medical Images 3.4 Preliminary Study of Retinal Lesions Classification on Rational Fundus Images for the Diagnosis of Retinal Diseases