Auto-Segmentation for Radiation Oncology, Yang, Jinzhong
Автор: Michael Heinrich Seegenschmiedt Название: Radiotherapy for Non-Malignant Disorders ISBN: 3642082920 ISBN-13(EAN): 9783642082924 Издательство: Springer Рейтинг: Цена: 21424.00 р. 30606.00-30% Наличие на складе: Есть (1 шт.) Описание: This volume is an unrivalled and comprehensive survey on the use of radiotherapy to treat non-malignant disorders. It documents the radiobiological and physical principles of treatment and the rationale underlying the use of radiotherapy.
Автор: Baum Richard P. Название: Therapeutic Nuclear Medicine ISBN: 3540367187 ISBN-13(EAN): 9783540367185 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Поставка под заказ.
Описание: The recent revolution in molecular biology offers exciting new opportunities for targeted radionuclide therapy.
Название: Intracranial and spinal radiotherapy ISBN: 303064507X ISBN-13(EAN): 9783030645076 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Поставка под заказ.
Описание: Leading experts in the field explain treatment techniques in detail, highlighting key considerations in the use of external beam radiation therapy, intensity-modulated radiation therapy, particle therapy, radiosurgery, and stereotactic body radiation therapy.
Название: Nanomaterials and Neoplasms ISBN: 9814800392 ISBN-13(EAN): 9789814800396 Издательство: Taylor&Francis Рейтинг: Цена: 29552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Published in 2019, the main aim of this book is to offer a more industrial/clinical point of view to students and researchers, together with the knowledge of regulatory agencies.
Название: Auto-segmentation for radiation oncology ISBN: 0367336006 ISBN-13(EAN): 9780367336004 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning.
Описание: ABCs - Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images.- Cross-modality Brain Structures Image Segmentation for the Radiotherapy Target Definition and Plan Optimization.- Domain Knowledge Driven Multi-modal Segmentation of Anatomical Brain Barriers to Cancer Spread.- Ensembled ResUnet for Anatomical Brain Barriers Segmentation.- An Enhanced Coarse-to-_ne Framework for the segmentation of clinical target volume.- Automatic Segmentation of brain structures for treatment planning optimization and target volume definition.- A Bi-Directional, Multi-Modality Framework for Segmentation of Brain Structures.- L2R - Learn2Reg: Multitask and Multimodal 3D Medical Image Registration.- Large Deformation Image Registration with Anatomy-aware Laplacian Pyramid Networks.- Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge.- Variable Fraunhofer MEVIS RegLib comprehensively applied to Learn2Reg Challenge.- Learning a deformable registration pyramid.- Deep learning based registration using spatial gradients and noisy segmentation labels.- Multi-step, Learning-based, Semi-supervised Image Registration Algorithm.- Using Elastix to register inhale/exhale intrasubject thorax CT: a unsupervised baseline to the task 2 of the Learn2Reg challenge.- TN-SCUI - Thyroid Nodule Segmentation and Classification in Ultrasound Images.- Cascade Unet and CH-Unet for thyroid nodule segmenation and benign and malignant classification.- Identifying Thyroid Nodules in Ultrasound Images through Segmentation-guided Discriminative Localization.- Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images.- Automatic Segmentation and Classification of Thyroid Nodules in Ultrasound Images with Convolutional Neural Networks.- LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images.- Coarse to Fine Ensemble Network for Thyroid Nodule Segmentation.
Автор: Yan Chai Hum Название: Segmentation of Hand Bone for Bone Age Assessment ISBN: 9814451657 ISBN-13(EAN): 9789814451659 Издательство: Springer Рейтинг: Цена: 9794.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme.
Описание: This book constitutes the Second International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually on September 27, 2021, due to the COVID-19 pandemic. The 21 contributions presented were carefully reviewed and selected from 29 submissions. This challenge aims to develop the best system for automatic semantic segmentation of renal tumors and surrounding anatomy.
Описание: Advances in image-guided cancer surgery have enlarged the role of image segmentation and registration. This book reviews current methodologies, to help physicians delineate anatomical structures, enhance the accuracy of diagnosis and improve treatment planning.
Автор: Yefeng Zheng; Dorin Comaniciu Название: Marginal Space Learning for Medical Image Analysis ISBN: 1493955756 ISBN-13(EAN): 9781493955756 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications.
Автор: Ayman El-Baz, Jasjit S. Suri Название: Level Set Method in Medical Imaging Segmentation ISBN: 113855345X ISBN-13(EAN): 9781138553453 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Level set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and optimality is defined based on desired imaging properties. This often includes a detection step to extract specific objects via segmentation. This allows for the segmentation and analysis problem to be formulated and solved in a principled way based on well-established mathematical theories. Level set method is a great tool for modeling time varying medical images and enhancement of numerical computations.
Автор: David Vernon Название: Fourier Vision ISBN: 1461355419 ISBN-13(EAN): 9781461355410 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Exploiting the relative motion between figure and ground, this technique deals explicitly with the separation of additive signals and makes no assumptions about the spatial or spectral content of the images, with segmentation being carried out phasor by phasor in the Fourier domain.
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