Multimodal Brain Tumor Segmentation and Beyond

Multimodal Brain Tumor Segmentation and Beyond PDF Author: Bjoern Menze
Publisher: Frontiers Media SA
ISBN: 2889711706
Category : Science
Languages : en
Pages : 324

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Multimodal Brain Tumor Segmentation and Beyond

Multimodal Brain Tumor Segmentation and Beyond PDF Author: Bjoern Menze
Publisher: Frontiers Media SA
ISBN: 2889711706
Category : Science
Languages : en
Pages : 324

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Book Description


Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries PDF Author: Alessandro Crimi
Publisher: Springer
ISBN: 3319752383
Category : Computers
Languages : en
Pages : 524

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Book Description
This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at the Medical Image computing for Computer Assisted Intervention Conference, MICCAI, in Quebec City, Canada, in September 2017. The 40 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; and ischemic stroke lesion image segmentation.

Computational Neurosurgery

Computational Neurosurgery PDF Author: Antonio Di Ieva
Publisher: Springer Nature
ISBN: 3031648927
Category :
Languages : en
Pages : 561

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries PDF Author: Alessandro Crimi
Publisher: Springer
ISBN: 9783319308579
Category : Computers
Languages : en
Pages : 0

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Brain Lesion (BrainLes), Brain Tumor Segmentation (BRATS) and Ischemic Stroke Lesion Segmentation (ISLES), held in Munich, Germany, on October 5, 2015, in conjunction with the International Conference on Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015. The 25 papers presented in this volume were carefully reviewed and selected from 28 submissions. They are grouped around the following topics: brain lesion image analysis; brain tumor image segmentation; ischemic stroke lesion image segmentation.

Information, Communication and Computing Technology

Information, Communication and Computing Technology PDF Author: Gerhard-Wilhelm Weber
Publisher: Springer Nature
ISBN: 3031724836
Category :
Languages : en
Pages : 191

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Intelligence in Big Data Technologies—Beyond the Hype

Intelligence in Big Data Technologies—Beyond the Hype PDF Author: J. Dinesh Peter
Publisher: Springer Nature
ISBN: 9811552851
Category : Technology & Engineering
Languages : en
Pages : 625

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Book Description
This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 PDF Author: Anne L. Martel
Publisher: Springer Nature
ISBN: 3030597199
Category : Computers
Languages : en
Pages : 867

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Book Description
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

Pattern Recognition and Computer Vision

Pattern Recognition and Computer Vision PDF Author: Qingshan Liu
Publisher: Springer Nature
ISBN: 9819984696
Category : Computers
Languages : en
Pages : 542

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Book Description
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.

Computational Intelligence in Pattern Recognition

Computational Intelligence in Pattern Recognition PDF Author: Asit Kumar Das
Publisher: Springer
ISBN: 9811390428
Category : Technology & Engineering
Languages : en
Pages : 1023

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Book Description
This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Advances in Artificial Intelligence

Advances in Artificial Intelligence PDF Author: Kunal Pal
Publisher: Elsevier
ISBN: 0443153922
Category : Science
Languages : en
Pages : 632

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Book Description
Artificial Intelligence in health care has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals such as electrocardiogram (ECG/ EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, nerve conduction, etc., and for bio-imaging modalities, such as Computed Tomography (CT), Cone-Beam Computed Tomography (CBCT), MRI (Magnetic Resonance Imaging), etc. Advancements in Artificial intelligence and big data has increased the development of innovative medical devices in health care applications. Recent Advances in Artificial Intelligence: Medical Applications provides an overview of artificial intelligence in biomedical applications including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in biomedical field including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, as well as develop AI-based medical devices. - Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used - Provides an understanding of the design of experiments to validate the developed algorithms - Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques