Advanced Analytics of Image Datasets in Human Health
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- FormatePub
- ISBN8227032492
- EAN9798227032492
- Date de parution30/11/2024
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurBig Dog Books, LLC
Résumé
"Advanced Analytics of Image Datasets in Human Health" explores how artificial intelligence (AI) and machine learning (ML) are revolutionizing healthcare by transforming medical image analysis. With the increasing availability of MRI, CT, X-ray, and ultrasound datasets, there is a growing need for advanced tools to derive actionable insights. This book provides a comprehensive guide to applying AI-driven techniques for improving diagnosis, predicting disease progression, and personalizing treatment plans.
Focusing on the use of deep learning models like convolutional neural networks (CNNs) and other advanced AI architectures, the book demonstrates how these technologies can enhance decision-making in clinical practice. From detecting early signs of disease to automating segmentation and anomaly detection, "Advanced Analytics of Image Datasets in Human Health" is an essential resource for healthcare professionals, data scientists, and AI researchers looking to apply advanced analytics for better patient care and outcomes.
Focusing on the use of deep learning models like convolutional neural networks (CNNs) and other advanced AI architectures, the book demonstrates how these technologies can enhance decision-making in clinical practice. From detecting early signs of disease to automating segmentation and anomaly detection, "Advanced Analytics of Image Datasets in Human Health" is an essential resource for healthcare professionals, data scientists, and AI researchers looking to apply advanced analytics for better patient care and outcomes.
"Advanced Analytics of Image Datasets in Human Health" explores how artificial intelligence (AI) and machine learning (ML) are revolutionizing healthcare by transforming medical image analysis. With the increasing availability of MRI, CT, X-ray, and ultrasound datasets, there is a growing need for advanced tools to derive actionable insights. This book provides a comprehensive guide to applying AI-driven techniques for improving diagnosis, predicting disease progression, and personalizing treatment plans.
Focusing on the use of deep learning models like convolutional neural networks (CNNs) and other advanced AI architectures, the book demonstrates how these technologies can enhance decision-making in clinical practice. From detecting early signs of disease to automating segmentation and anomaly detection, "Advanced Analytics of Image Datasets in Human Health" is an essential resource for healthcare professionals, data scientists, and AI researchers looking to apply advanced analytics for better patient care and outcomes.
Focusing on the use of deep learning models like convolutional neural networks (CNNs) and other advanced AI architectures, the book demonstrates how these technologies can enhance decision-making in clinical practice. From detecting early signs of disease to automating segmentation and anomaly detection, "Advanced Analytics of Image Datasets in Human Health" is an essential resource for healthcare professionals, data scientists, and AI researchers looking to apply advanced analytics for better patient care and outcomes.
