Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis
portes grátis
Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis
Methods, Applications, and Tools
Kayalvizhi, S.; Bhatia Khan, Surbhi; Saraee, Mohammed; Malini, A.
Taylor & Francis Ltd
04/2025
282
Dura
9781032776576
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter1- Overview of Computational Intelligence for Health Informatics and Computer-Aided Diagnosis
Chapter 2- From Pixels to Prognosis: Machine Learning Approaches for Medical Imaging Diagnosis
Chapter 3- Development of an Advanced Lung Cancer Diagnosis System Using Image Processing and Machine Learning
Chapter 4- Automated Dementia Detection using Genetic Algorithm and Differential Evaluation Model P. Muthu
Chapter 5- Exploring deep learning models in medical image analysis for human disease detection and classification
Chapter 6- Machine Learning approach for different habitual activity Versus sleep intermittent stages in time efficient perspectives based on facial features
Chapter 7- A Survey on Challenges in Interoperability and Security in iot based healthcare system
Chapter 8- Intelligent Cardiovascular Disease Prediction Using Ant Colony Optimization with Enhanced Deep Learning Model
Chapter 9- Utilizing Explainable Artificial Intelligence for Parkinson's Disease Diagnosis through Analysis of Spiral and Wave Drawings with Integrated Data Augmentation
Chapter 10- Review on Medical sensors for health care monitoring systems using Machine learning algorithm
Chapter 11- Breast Cancer Classification Using Machine Learning - a Study
Chapter 12- Secure Compressive Sensing in Medical Imaging Using Fractional Order Hyper Chaotic Systems
Chapter 13- Early-Stage Lung Cancer Classification through Improved Data Processing with Spatial FusionNet
Chapter 14- Practical Applications: Specific Diseases or Conditions Where AI has made a Significant Impact: A review
Chapter 15- Medical Impact Assessment of Industrial Emissions: Predicting Air Quality Index
Chapter 2- From Pixels to Prognosis: Machine Learning Approaches for Medical Imaging Diagnosis
Chapter 3- Development of an Advanced Lung Cancer Diagnosis System Using Image Processing and Machine Learning
Chapter 4- Automated Dementia Detection using Genetic Algorithm and Differential Evaluation Model P. Muthu
Chapter 5- Exploring deep learning models in medical image analysis for human disease detection and classification
Chapter 6- Machine Learning approach for different habitual activity Versus sleep intermittent stages in time efficient perspectives based on facial features
Chapter 7- A Survey on Challenges in Interoperability and Security in iot based healthcare system
Chapter 8- Intelligent Cardiovascular Disease Prediction Using Ant Colony Optimization with Enhanced Deep Learning Model
Chapter 9- Utilizing Explainable Artificial Intelligence for Parkinson's Disease Diagnosis through Analysis of Spiral and Wave Drawings with Integrated Data Augmentation
Chapter 10- Review on Medical sensors for health care monitoring systems using Machine learning algorithm
Chapter 11- Breast Cancer Classification Using Machine Learning - a Study
Chapter 12- Secure Compressive Sensing in Medical Imaging Using Fractional Order Hyper Chaotic Systems
Chapter 13- Early-Stage Lung Cancer Classification through Improved Data Processing with Spatial FusionNet
Chapter 14- Practical Applications: Specific Diseases or Conditions Where AI has made a Significant Impact: A review
Chapter 15- Medical Impact Assessment of Industrial Emissions: Predicting Air Quality Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence;Computer-Aided Diagnosis (CAD;Cybersecurity;Decision Support Systems;Deep Learning;Health Data Analytics;Human-Computer Interaction;Machine Learning;Medical Data Analysis
Chapter1- Overview of Computational Intelligence for Health Informatics and Computer-Aided Diagnosis
Chapter 2- From Pixels to Prognosis: Machine Learning Approaches for Medical Imaging Diagnosis
Chapter 3- Development of an Advanced Lung Cancer Diagnosis System Using Image Processing and Machine Learning
Chapter 4- Automated Dementia Detection using Genetic Algorithm and Differential Evaluation Model P. Muthu
Chapter 5- Exploring deep learning models in medical image analysis for human disease detection and classification
Chapter 6- Machine Learning approach for different habitual activity Versus sleep intermittent stages in time efficient perspectives based on facial features
Chapter 7- A Survey on Challenges in Interoperability and Security in iot based healthcare system
Chapter 8- Intelligent Cardiovascular Disease Prediction Using Ant Colony Optimization with Enhanced Deep Learning Model
Chapter 9- Utilizing Explainable Artificial Intelligence for Parkinson's Disease Diagnosis through Analysis of Spiral and Wave Drawings with Integrated Data Augmentation
Chapter 10- Review on Medical sensors for health care monitoring systems using Machine learning algorithm
Chapter 11- Breast Cancer Classification Using Machine Learning - a Study
Chapter 12- Secure Compressive Sensing in Medical Imaging Using Fractional Order Hyper Chaotic Systems
Chapter 13- Early-Stage Lung Cancer Classification through Improved Data Processing with Spatial FusionNet
Chapter 14- Practical Applications: Specific Diseases or Conditions Where AI has made a Significant Impact: A review
Chapter 15- Medical Impact Assessment of Industrial Emissions: Predicting Air Quality Index
Chapter 2- From Pixels to Prognosis: Machine Learning Approaches for Medical Imaging Diagnosis
Chapter 3- Development of an Advanced Lung Cancer Diagnosis System Using Image Processing and Machine Learning
Chapter 4- Automated Dementia Detection using Genetic Algorithm and Differential Evaluation Model P. Muthu
Chapter 5- Exploring deep learning models in medical image analysis for human disease detection and classification
Chapter 6- Machine Learning approach for different habitual activity Versus sleep intermittent stages in time efficient perspectives based on facial features
Chapter 7- A Survey on Challenges in Interoperability and Security in iot based healthcare system
Chapter 8- Intelligent Cardiovascular Disease Prediction Using Ant Colony Optimization with Enhanced Deep Learning Model
Chapter 9- Utilizing Explainable Artificial Intelligence for Parkinson's Disease Diagnosis through Analysis of Spiral and Wave Drawings with Integrated Data Augmentation
Chapter 10- Review on Medical sensors for health care monitoring systems using Machine learning algorithm
Chapter 11- Breast Cancer Classification Using Machine Learning - a Study
Chapter 12- Secure Compressive Sensing in Medical Imaging Using Fractional Order Hyper Chaotic Systems
Chapter 13- Early-Stage Lung Cancer Classification through Improved Data Processing with Spatial FusionNet
Chapter 14- Practical Applications: Specific Diseases or Conditions Where AI has made a Significant Impact: A review
Chapter 15- Medical Impact Assessment of Industrial Emissions: Predicting Air Quality Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
