Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem
◆Taylor & Francis セール開催中!:2024年5月26日(日)ご注文分まで
※上記表示の販売価格は割引適用後の価格です 出版済み 3-5週間でお届けいたします。 Publisher: Taylor & Francis ISBN: 9781032547923 Cover: HARDCOVER Date: 2024年03月 DESCRIPTION This book?examines computer vision and IoT-integrated technologies used by medical professionals in decision-making, for sustainable development in a healthcare ecosystem and to better serve patients and stakeholders.?It discusses machine vision, AI-driven computer vision, machine learning, deep learning, and AI-integrated IoT technologies. TABLE OF CONTENTS 1 Application of Computer Vision (CV) in the Healthcare Ecosystem 2 Artificial Intelligence (AI)-Assisted Computer Vision (CV) in Healthcare Systems 3 Computer Vision (CV)-based Machine Learning (ML) Models for Healthcare System 4 Computer Vision (CV)-Aided Medical Diagnosis for Cardiovascular Disease Detection 5 Artificial Intelligence (AI)-Aided Diagnosis System to Objectively Measure Chronic Pain 6 Artificial Intelligence (AI)-Enabled Technology in Medicine-Advancing Holistic Healthcare Monitoring and Control Systems 7 Medical and Biomedical Signal Processing and Prediction Using EEG Machine and Electroencephalography 8 Artificial Intelligence (AI)-Aided Computer Vision (CV) in Healthcare System 9 Artificial Intelligence (AI) Models for Disease Diagnosis and Prediction of Heart Disease with Artificial Neural Networks (ANN) 10 Harnessing Deep Learning (DL) for Image Inpainting in Healthcare System-Methods and Challenges 11 Skin Cancer Classification Using ConvNeXtLarge Architecture 12 Brain Tumor Detection Using Tensorflow Framework 13 Early Prediction of Sepsis with the Predictive Analysis Model Using 1.5 Million Records 14 An Efficient FPGA Implementation of Approximate Multiply Accumulate Unit for Image and Video Processing Applications in Healthcare Sector 15 Lung Cancer Prediction Using Convolutional Neural Network (CNN) with VGG16 Model 16 Identifying Error and Bias in Chest Radiographic Images for COVID Detection Using Deep Learning Algorithms 17 Forecast of Health Risk for Chronic Kidney Disease: A Comparison between Naive Bayes (NB) and Support Vector Machine (SVM) Models 18 The Performance of Feature Selection Approaches on Boosted Random Forests Algorithm for Predicting Cardiovascular Disease 19 Application of Artificial intelligence (AI) Technologies in Employing Chatbots to Access Mental Health 20 Clinical Decision Support Systems in Smart Medical Ecosystem 21 The Future of Edge Computing for Healthcare Ecosystem 22 Privacy-Aware IoT-Based Multi-Di 最近チェックした商品
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