Technology Medical Image Analysis (9 results)

Condition: New.

paperback. Condition: New. Paperback.Pub Date:2021-11-01 Pages:146 Language:Chinese Publisher:Wuhan University Press Medical Image Analysis Technology and Its Application This paper studies the processing and analysis methods of target area localization. image segmentation and feature quantification of related images . The book is divided into five chapters. The first chapter is the introduction part. expounding the research background. significance and purpose of this work; the second chapter is the main content of th.…

Hardcover. Condition: new. Hardcover. This Reprint presents eleven original research papers pushing the boundaries of automated medical decision support across diverse imaging modalities, including X-rays, MRI, CT, and histopathological scans. The presented works address critical diagnostic and therapeutic challenges using state-of-the-art artificial intelligence frameworks, such as Deep Convolutional Neural Networks (DCNNs), ResNet-50, LSTM architectures, and innovative semi-supervised learning models. Key breakthroughs presented in this volume include high-accuracy multi-class breast cancer classification, age estimation from brain scans, advanced automated quality assurance systems for chest X-rays, and customized algorithmic recommendations for orthopedic care. Furthermore, contributors explore groundbreaking methods in multi-modality thalamus segmentation, hyperparameter weight-space optimization, data augmentation techniques for data-scarce domains like gastric cancer, and high-precision lung disease detection. By prioritizing clinical efficiency, diagnostic speed, and data conformity, these studies collectively offer powerful solutions to streamline workflows, mitigate radiologist burnout, and reduce healthcare resource costs. This Reprint underscores the transformative role of AI as an essential ally to clinicians, advancing toward highly accurate, early disease detection and personalized patient care worldwide. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condition: new. Hardcover. This Reprint presents eleven original research papers pushing the boundaries of automated medical decision support across diverse imaging modalities, including X-rays, MRI, CT, and histopathological scans. The presented works address critical diagnostic and therapeutic challenges using state-of-the-art artificial intelligence frameworks, such as Deep Convolutional Neural Networks (DCNNs), ResNet-50, LSTM architectures, and innovative semi-supervised learning models. Key breakthroughs presented in this volume include high-accuracy multi-class breast cancer classification, age estimation from brain scans, advanced automated quality assurance systems for chest X-rays, and customized algorithmic recommendations for orthopedic care. Furthermore, contributors explore groundbreaking methods in multi-modality thalamus segmentation, hyperparameter weight-space optimization, data augmentation techniques for data-scarce domains like gastric cancer, and high-precision lung disease detection. By prioritizing clinical efficiency, diagnostic speed, and data conformity, these studies collectively offer powerful solutions to streamline workflows, mitigate radiologist burnout, and reduce healthcare resource costs. This Reprint underscores the transformative role of AI as an essential ally to clinicians, advancing toward highly accurate, early disease detection and personalized patient care worldwide. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: new. Hardcover. This Reprint presents eleven original research papers pushing the boundaries of automated medical decision support across diverse imaging modalities, including X-rays, MRI, CT, and histopathological scans. The presented works address critical diagnostic and therapeutic challenges using state-of-the-art artificial intelligence frameworks, such as Deep Convolutional Neural Networks (DCNNs), ResNet-50, LSTM architectures, and innovative semi-supervised learning models. Key breakthroughs presented in this volume include high-accuracy multi-class breast cancer classification, age estimation from brain scans, advanced automated quality assurance systems for chest X-rays, and customized algorithmic recommendations for orthopedic care. Furthermore, contributors explore groundbreaking methods in multi-modality thalamus segmentation, hyperparameter weight-space optimization, data augmentation techniques for data-scarce domains like gastric cancer, and high-precision lung disease detection. By prioritizing clinical efficiency, diagnostic speed, and data conformity, these studies collectively offer powerful solutions to streamline workflows, mitigate radiologist burnout, and reduce healthcare resource costs. This Reprint underscores the transformative role of AI as an essential ally to clinicians, advancing toward highly accurate, early disease detection and personalized patient care worldwide. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint presents eleven original research papers pushing the boundaries of automated medical decision support across diverse imaging modalities, including X-rays, MRI, CT, and histopathological scans. The presented works address critical diagnostic and therapeutic challenges using state-of-the-art artificial intelligence frameworks, such as Deep Convolutional Neural Networks (DCNNs), ResNet-50, LSTM architectures, and innovative semi-supervised learning models. Key breakthroughs presented in this volume include high-accuracy multi-class breast cancer classification, age estimation from brain scans, advanced automated quality assurance systems for chest X-rays, and customized algorithmic recommendations for orthopedic care. Furthermore, contributors explore groundbreaking methods in multi-modality thalamus segmentation, hyperparameter weight-space optimization, data augmentation techniques for data-scarce domains like gastric cancer, and high-precision lung disease detection. By prioritizing clinical efficiency, diagnostic speed, and data conformity, these studies collectively offer powerful solutions to streamline workflows, mitigate radiologist burnout, and reduce healthcare resource costs. This Reprint underscores the transformative role of AI as an essential ally to clinicians, advancing toward highly accurate, early disease detection and personalized patient care worldwide.…

Buch. Condition: Neu. AI Technology in Medical Image Analysis | Buch | Englisch | 2026 | MDPI AG | EAN 9783725882670 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.