Diagnosis of Neurological Disorders Based on Deep Learning Techniques
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Diagnosis of Neurological Disorders Based on Deep Learning Techniques
Chaki, Jyotismita
Taylor & Francis Ltd
01/2025
222
Mole
9781032325248
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Introduction to Deep Learning Techniques for Diagnosis of Neurological Disorders 2. A Comprehensive Study of Data Pre-Processing Techniques for Neurological Disease (NLD) Detection 3. Classification of the Level of Alzheimer's Disease Using Anatomical Magnetic Resonance Images Based on a Novel Deep Learning Structure 4. Detection of Alzheimer's Disease Stages Based on Deep Learning Architectures from MRI Images 5. Analysis on Detection of Alzheimer's using Deep Neural Network 6. Detection and Classification of Alzheimer's Disease: A Deep Learning Approach with Predictor Variables 7. Classification of Brain Tumor Using Optimized Deep Neural Network Models 8. Fully Automated Segmentation of Brain Stroke Lesions Using Mask Region-Based Convolutional Neural Network 9. Efficient Classification of Schizophrenia EEG Signals Using Deep Learning Methods 10. Implementation of a Deep Neural Network-Based Framework for Actigraphy Analysis and Prediction of Schizophrenia 11. Evaluating Psychomotor Skills in Autism Spectrum Disorder Through Deep Learning 12. Dementia Detection with Deep Networks Using Multi-Modal Image Data 13. The Importance of the Internet of Things in Neurological Disorder: A Literature Review
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Pre-processing;Internet of Things;Machine Learning;Psychiatric Disorders;Neurodevelopmental;Neurodegenerative;DNN Model;LBP.;CNN Model;Max Pooling Layer;DNN;Deep Learning Methods;Deep Learning Techniques;ADNI;EEG Signal;Convolutional Layers;CNN Architecture;Convolution Layer;Deep Learning Models;Mri Image;Autism Spectrum Disorder;Brain Mri Image;Data Pre-processing Techniques;Dice Similarity Coefficient;Actigraphy Analysis;Deep Learning Architecture;Roc Curve;Dl Algorithm;Alzheimer's Disease;Ad;Pre-processing Techniques
1. Introduction to Deep Learning Techniques for Diagnosis of Neurological Disorders 2. A Comprehensive Study of Data Pre-Processing Techniques for Neurological Disease (NLD) Detection 3. Classification of the Level of Alzheimer's Disease Using Anatomical Magnetic Resonance Images Based on a Novel Deep Learning Structure 4. Detection of Alzheimer's Disease Stages Based on Deep Learning Architectures from MRI Images 5. Analysis on Detection of Alzheimer's using Deep Neural Network 6. Detection and Classification of Alzheimer's Disease: A Deep Learning Approach with Predictor Variables 7. Classification of Brain Tumor Using Optimized Deep Neural Network Models 8. Fully Automated Segmentation of Brain Stroke Lesions Using Mask Region-Based Convolutional Neural Network 9. Efficient Classification of Schizophrenia EEG Signals Using Deep Learning Methods 10. Implementation of a Deep Neural Network-Based Framework for Actigraphy Analysis and Prediction of Schizophrenia 11. Evaluating Psychomotor Skills in Autism Spectrum Disorder Through Deep Learning 12. Dementia Detection with Deep Networks Using Multi-Modal Image Data 13. The Importance of the Internet of Things in Neurological Disorder: A Literature Review
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Pre-processing;Internet of Things;Machine Learning;Psychiatric Disorders;Neurodevelopmental;Neurodegenerative;DNN Model;LBP.;CNN Model;Max Pooling Layer;DNN;Deep Learning Methods;Deep Learning Techniques;ADNI;EEG Signal;Convolutional Layers;CNN Architecture;Convolution Layer;Deep Learning Models;Mri Image;Autism Spectrum Disorder;Brain Mri Image;Data Pre-processing Techniques;Dice Similarity Coefficient;Actigraphy Analysis;Deep Learning Architecture;Roc Curve;Dl Algorithm;Alzheimer's Disease;Ad;Pre-processing Techniques
