Medical imaging applications deep (5 Ergebnisse)

Hardcover. Zustand: Brand New. 249 pages. 11.00x9.00x0.75 inches. In Stock.

Buch. Zustand: Neu. Neuware - Medical imaging refers to several different technologies that are used to view inside the human body in order to diagnose, monitor or treat medical conditions. Endoscopy, tactile imaging and computerized tomography (CT) scan are some common types of medical imaging procedures. In recent years, deep learning or deep structured imaging has found applications in the field of medical image analysis. Machine learning is a subfield of artificial intelligence (AI) and is used for various purposes such as computer-aided detection/diagnosis, disease prediction, image segmentation, image generation, etc. AI tools are used to accelerate productivity and potentially improve accuracy in the process of medical imaging. This book contains some path-breaking studies in the field of deep learning and medical imaging. The various studies that are constantly contributing towards advancing technologies and evolution of this field are examined in detail. It will serve as a valuable source of reference for medical students, radiologists, and industry researchers engaged in medical imaging research.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive study of medical image processing, with an emphasis on methods to enhance the accuracy and readability of medical images for diagnosis and therapy. Its main goals are to improve the visual clarity of images by sharpening details, lowering noise, and altering contrast to better visualize subtle elements. Also, it guarantees that anatomical features are accurately represented by correcting distortions, artefacts, and defects resulting from capture or transmission. Reconstruction is the main topic, including how to mix data from different modalities (such as CT and MRI) to build a more complete perspective or recreate missing or incomplete data from fragmented images. This book covers a wide range of topics, including deep learning methodologies, image processing methods, clinical applications, evaluation, and validation. The goal of the book is to provide readers a thorough understanding of medical image processing methods for enhancing, restoring, and reconstructing medical images. It describes the different algorithms theoretical foundations and real-world applications. It highlights the practical uses and promise of these methods for enhancing medical diagnosis and care.…

Zustand: New. In English.

Hardcover. Zustand: Brand New. 502 pages. 6.30x1.22x9.49 inches. In Stock.