Автор: K. Kamalanand, B. Thayumanavan, P. Mannar Jawahar Название: Computational Techniques for Dental Image Analysis ISBN: 1522562435 ISBN-13(EAN): 9781522562436 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35402.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries.Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.
Описание: Medical image fusion is a process which merges information from multiple images of the same scene. The fused image provides appended information that can be utilized for more precise localization of abnormalities. The use of medical image processing databases will help to create and develop more accurate and diagnostic tools.
Название: Theranostics and Image Guided Drug Delivery ISBN: 178262466X ISBN-13(EAN): 9781782624660 Издательство: Royal Society of Chemistry Рейтинг: Цена: 37805.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives an overview of a field where several disciplines have come together towards individualised, safer therapies, and better monitoring of disease and drug action and distribution.
Автор: Alejandro F. Frangi; Julia A. Schnabel; Christos D Название: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 303000936X ISBN-13(EAN): 9783030009366 Издательство: Springer Рейтинг: Цена: 13695.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018.The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.
Описание: and machine learning - weakly supervised learningPart III: machine learning - advances in machine learning theory; and clinical applications - vascularPart VII: clinical applications - abdomen; and clinical applications - oncologyPart VIII: clinical applications - ophthalmology;
Автор: Dimitris Metaxas; Leon Axel; Gabor Fichtinger; Gab Название: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 ISBN: 3540859896 ISBN-13(EAN): 9783540859895 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, held in New York, NY, USA, in September 2008. This two-volume set includes papers related to medical image computing, segmentation, and contributions related to robotics and interventions.
Автор: Birkfellner, Wolfgang Название: Applied Medical Image Processing ISBN: 1466555572 ISBN-13(EAN): 9781466555570 Издательство: Taylor&Francis Рейтинг: Цена: 11023.00 р. Наличие на складе: Нет в наличии.
Автор: Zhou, Kevin Название: Deep Learning for Medical Image Analysis ISBN: 0128104082 ISBN-13(EAN): 9780128104088 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas.
Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.
Автор: Danail Stoyanov; Zeike Taylor; Francesco Ciompi; Y Название: Computational Pathology and Ophthalmic Medical Image Analysis ISBN: 3030009483 ISBN-13(EAN): 9783030009489 Издательство: Springer Рейтинг: Цена: 9222.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Computational Pathology, COMPAY 2018, and the 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.The 19 full papers (out of 25 submissions) presented at COMPAY 2018 and the 21 full papers (out of 31 submissions) presented at OMIA 2018 were carefully reviewed and selected. The COMPAY papers focus on artificial intelligence and deep learning. The OMIA papers cover various topics in the field of ophthalmic image analysis.
Описание: and machine learning - weakly supervised learningPart III: machine learning - advances in machine learning theory; and clinical applications - vascularPart VII: clinical applications - abdomen; and clinical applications - oncologyPart VIII: clinical applications - ophthalmology;
Автор: Samei Название: The Handbook of Medical Image Perception and Techniques ISBN: 1107424631 ISBN-13(EAN): 9781107424630 Издательство: Cambridge Academ Рейтинг: Цена: 12514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written with both the novice and researcher in mind, this state-of-the-art book reviews key issues and methods in medical image perception research. It provides a broad overview of medical image perception for newcomers to the field and experienced researchers, and will serve as a reference volume for years to come.
Автор: Panetta Daniele, Camarlinghi Niccolo Название: 3D Image Reconstruction for CT and PET: A Practical Guide with Python ISBN: 0367539810 ISBN-13(EAN): 9780367539818 Издательство: Taylor&Francis Рейтинг: Цена: 3367.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). It will be invaluable for graduate students and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction.
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