Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, Manfredi
Автор: Shuo Li; Jianhua Yao Название: Spinal Imaging and Image Analysis ISBN: 3319125079 ISBN-13(EAN): 9783319125077 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic. The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges: * Mitosis Domain Generalization Challenge (MIDOG 2021), * Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and * Learn2Reg (L2R 2021). The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.
Автор: Jianhua Yao; Tobias Klinder; Shuo Li Название: Computational Methods and Clinical Applications for Spine Imaging ISBN: 3319072684 ISBN-13(EAN): 9783319072685 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- Workshop Organization.- Segmentation I (CT): Segmentation of vertebrae from 3D spine images by applying concepts from transportation and game theories, by Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images, by Qian Wang, Le Lu, Diji Wu, Noha El-Zehiry, Dinggang Shen, Kevin Zhou.- A Robust Segmentation Framework for Spine Trauma Diagnosis, by Poay Hoon Lim, Ulas Bagci, Li Bai.- 2D-PCA based Tensor Level Set Framework for Vertebral Body Segmentation, by Ahmed Shalaby, Aly Farag, Melih Aslan.- Computer Aided Detection and Diagnosis: Computer Aided Detection of Spinal Degenerative Osteophytes on Sodium Fluoride PET/CT, by Jianhua Yao, Hector Munoz, Joseph Burns, Le Lu, Ronald Summers.- Novel Morphological and Appearance Features for Predicting Physical Disability from MR Images in Multiple Sclerosis Patients, by Jeremy Kawahara, Chris McIntosh, Roger Tam, Ghassan Hamarneh.- Classification of Spinal Deformities using a Parametric Torsion Estimator, by Jesse Shen, Stefan Parent, Samuel Kadoury.- Lumbar Spine Disc Herniation Diagnosis with a Joint Shape Model, by Raja Alomari, Vipin Chaudhary, Jason Corso, Gurmeet Dhillon.- Epidural Masses Detection on Computed Tomography Using Spatially-Constrained Gaussian Mixture Models, by Sanket Pattanaik, Jiamin Liu, Jianhua Yao, Weidong Zhang, Evrim Turkbey, Xiao Zhang, Ronald Summers.- Quantitative Imaging: Comparison of manual and computerized measurements of sagittal vertebral inclination in MR images, by Tomaz Vrtovec, Franjo Pernus, Bostjan Likar.- Eigenspine: Eigenvector Analysis of Spinal Deformities in Idiopathic Scoliosis, by Daniel Forsberg, Claes Lundstrцm, Mats Andersson, Hans Knutsson.- Quantitative Monitoring of Syndesmophyte Growth in Ankylosing Spondylitis Using Computed Tomography, by Sovira Tan, Jianhua Yao, Lawrence Yao, Michael Ward.- A Semi-automatic Method for the Quantification of Spinal Cord Atrophy, by Simon Pezold, Michael Amann, Katrin Weier, Ketut Fundana, Ernst Radue, Till Sprenger, Philippe Cattin.- Segmentation II (MR): Multi-modal vertebra segmentation from MR Dixon in hybrid whole-body PET/MR, by Christian Buerger, Jochen Peters, Irina Waechter-Stehle, Frank Weber, Tobias Klinder, Steffen Renisch.- Segmentation of intervertebral discs from high-resolution 3D MRI using multi-level statistical shape models, by Ales Neubert, Jurgen Fripp, Craig Engstrom, Stuart Crozier.- A supervised approach towards segmentation of clinical MRI for automatic lumbar diagnosis, by Subarna Ghosh, Manavender Malgireddy, Vipin Chaudhary, Gurmeet Dhillon.- Registration/Labeling: Automatic Segmentation and Discrimination of Connected Joint Bones from CT by Multi-atlas Registration, by Tristan Whitmarsh, Graham Treece, Kenneth Poole.- Registration of MR to Percutaneous Ultrasound of the Spine for Image-Guided Surgery, by Lars Eirik B , Rafael Palomar, Tormod Selbekk, Ingerid Reinertsen.- Vertebrae Detection and Labelling in Lumbar MR Images, by Meelis Lootus, Timor Kadir, Andrew Zisserman.
Автор: D. Eberly Название: Ridges in Image and Data Analysis ISBN: 9048147611 ISBN-13(EAN): 9789048147618 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The concept of ridges has appeared numerous times in the image processing liter- ature. The con- cept of ridge as a manifold of critical points is a natural extension of the concept of local maximum as an isolated critical point.
Автор: D. Eberly Название: Ridges in Image and Data Analysis ISBN: 0792342682 ISBN-13(EAN): 9780792342687 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a thorough development of ridges and their application to image and data analysis, this includes chapters on the formal ridge definitions in any geometric setting, and a chapter on the numerical implementation, and applications chapter covers: medical image analysis, molecular modeling, and analysis of fluid flow.
Автор: R. Highnam; J.M. Brady Название: Mammographic Image Analysis ISBN: 9401059497 ISBN-13(EAN): 9789401059497 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Breast cancer is a major health problem in the Western world, where it is the most common cancer among women. As applications of image analysis go, medical applications are tough in general, and breast cancer image analysis is one of the toughest.
Описание: First Workshop on Smart UltraSound Imaging.- Straight to the point: reinforcement learning for user guidance in ultrasound.- Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT using Content-based Retrieval and Kinematic Priors.- Direct Detection and Measurement of Nuchal Translucency with Neural Networks from Ultrasound Images.- Automated left ventricle dimension measurement in 2D cardiac ultrasound via an anatomically meaningful CNN approach.- SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images.- Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound.- Adversarial Learning for Deformable Image Registration: Application to 3D Ultrasound Image Fusion.- Monitoring Achilles tendon healing progress in ultrasound imaging with convolutional neural networks.- Deep Learning-based Pneumothorax Detection in Ultrasound Videos.- Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging.- 4th Workshop on Perinatal, Preterm and Paediatric Image Analysis.- Estimation of preterm birth markers with U-Net segmentation network.- Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach.- Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation.- Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI.- Plug-and-Play Priors for Reconstruction-based Placental Image Registration.- A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants using Manifold Learning.- Prediction of failure of induction of labor (IOL) from ultrasound images using radioman features.- Longitudinal analysis of fetal MRI in patients with prenatal spina bifida repair.- Quantifying Residual Motion Artifacts in Fetal fMRI Data.- Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR.
Описание: This book constitutes the refereed proceedings of the Third International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2021, and the 6th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2021, held in conjunction with MICCAI 2021.
Автор: Kamran Kiasaleh Название: Biological Signals Classification and Analysis ISBN: 3642548784 ISBN-13(EAN): 9783642548789 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems.
Автор: Sanchez, Edgar Название: Discrete-Time Neural Observers ISBN: 0128105437 ISBN-13(EAN): 9780128105436 Издательство: Elsevier Science Рейтинг: Цена: 18696.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete-time unknown nonlinear systems with multiple inputs and outputs. The book includes rigorous mathematical analyses, based on the Lyapunov approach, that guarantee their properties. In addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes.
In order to complete the treatment of these schemes, the authors also present simulation and experimental results related to their application in meaningful areas, such as electric three phase induction motors and anaerobic process, which show the applicability of such designs. The proposed schemes can be employed for different applications beyond those presented.
The book presents solutions for the state estimation problem of unknown nonlinear systems based on two schemes. For the first one, a full state estimation problem is considered; the second one considers the reduced order case with, and without, the presence of unknown delays. Both schemes are developed in discrete-time using recurrent high order neural networks in order to design the neural observers, and the online training of the respective neural networks is performed by Kalman Filtering.
Автор: J?zef Korbicz; Roman Maniewski; Krzysztof Patan; M Название: Current Trends in Biomedical Engineering and Bioimages Analysis ISBN: 3030298841 ISBN-13(EAN): 9783030298845 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers 30 papers presented at the 21st PCBBE, which was hosted by the University of Zielona Gora, Poland, and offered a valuable forum for exchanging ideas and presenting the latest developments in all areas of biomedical engineering.
Автор: Aditya Khamparia, Bharat Bhushan, Prajoy Podder, Rubaiyat Hossain Mondal, Sachin Kumar, Victor Hugo C. de Albuquerque Название: Computational Intelligence for Managing Pandemics ISBN: 3110700204 ISBN-13(EAN): 9783110700206 Издательство: Walter de Gruyter Рейтинг: Цена: 23979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
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