manoj diwakar (13 Ergebnisse)

Paperback. Zustand: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -Today, Computed Tomography (CT) is one of the highly efficient indispensable tools in medical science for clinical purpose. Due to software and hardware limitations, and statistical uncertainty of all physical measurements in Computed Tomography, the unwanted noise appears in CT images. The presence of noise is one of the main factors to degrade the visual quality of the CT images. Because of the image degradation, the experts are not able to identify the correct information from the medical images. Therefore, this book investigates the methods for noise reduction in CT images while preserving their main structures. The goal of work is to improve the signal to-noise ratio without loss of spatial resolution or structures of the CT images. Hence, image denoising is an essential processing step preceding visual and automated analyses. This book is concerned with the methods for CT image enhancement using image denoising concepts which can be capable to preserve edges and maintain high visual quality.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch.

Paperback. Zustand: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock.

Zustand: New.

Paperback. Zustand: Brand New. 300 pages. 9.25x7.50 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical imaging, clinical, and other healthcare applications.The book covers among other areas:Image acquisition and formation.Computer-aided diagnosis.Image classification.Feature extraction.Image enhancement/segmentation.Medical image processing issues such as segmentation, visualization, registration, and navigation may seem to be distinct, yet they are all intertwined in the process of resolving clinical bottlenecks. Using deep learning algorithms, researchers were able to achieve record-breaking performance and set the bar for future research. Due to the extensive quantity of medical imaging data of CT scan, ultrasound, and MRI, there is widespread use of machine learning, specifically deep learning, to discover specific patterns on such data. Such large data is well quantified by deep learning models. Deep learning is now being utilized, customized, and particularly developed for medical image analysis, as opposed to when it was first introduced to the community. Having learned more about the techniques, researchers have come up with innovative ideas for combining artificial intelligence (AI) with neural networks to solve difficult issues like medical image reconstruction.The key features of this book are:Machine learning and deep learning applications.Medical imaging applications.Feature extraction and analysis.Medical image classification, segmentation, recognition, and registration.Medical image analysis and enhancement.Handling medical image dataset.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Buch. Zustand: Neu. Neuware -This book caters to a wide range of readers, including professionals in the healthcare and IT sectors, as well as security practitioners. This resource provides valuable perspectives on the risks and difficulties currently faced by the healthcare industry and presents practical recommendations for effectively managing these risks and enhancing security and reliability. This book is beneficial for anyone seeking to enhance their understanding of the risks, security, and reliability challenges encountered by the healthcare industry. The provided information offers a comprehensive overview of the issues at hand and provides recommendations for mitigating risks and enhancing security and stability.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 380 pp. Englisch.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book caters to a wide range of readers, including professionals in the healthcare and IT sectors, as well as security practitioners. This resource provides valuable perspectives on the risks and difficulties currently faced by the healthcare industry and presents practical recommendations for effectively managing these risks and enhancing security and reliability. This book is beneficial for anyone seeking to enhance their understanding of the risks, security, and reliability challenges encountered by the healthcare industry. The provided information offers a comprehensive overview of the issues at hand and provides recommendations for mitigating risks and enhancing security and stability.

Zustand: New. Manoj Kumar Patel, NIT Nagaland Triloki Nath, Ram Kishor Pandey, Diwakar Shukla, Dr. Hari Singh Gour University, IndiaThis volume documents the contributions presented at The.

Hardcover. Zustand: Brand New. 300 pages. 9.25x6.10x9.49 inches. In Stock.

Hardcover. Zustand: Brand New. 512 pages. 9.44x6.69x9.61 inches. In Stock.

Buch. Zustand: Neu. Neuware - This volume documents the contributions presented at The ICRTMPCS II International Conference on Advances in Mathematical and Computational Sciences. Entries focus on modern trends and techniques in branches of pure and applied mathematics, statistics, and computer science. Highlighting applications in coding theory, cryptography, graph theory, fuzzy theory, variance analysis, data analysis, and sampling theory.