Automated Confidence-based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation

Automated Confidence-based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation PDF Author: Andrew Alexander Bernardus Top
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 140

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Book Description
In this thesis, we improve the standard 3D medical image interactive segmentation workflow. Drawing from the field of Active Learning, we propose a method for automating the process of deciding where the user should provide input next for optimally improving the segmentation. Specifically, we evaluate a given intermediate segmentation by constructing an uncertainty field over the image domain based on a multitude of segmentation quality metrics. We then find the plane that intersects with maximal uncertainty, and present it to the user for segmentation as an active batch query. We demonstrate the method through two embodiments, one using the Random Walker segmentation algorithm, and the other using the 3D Livewire method as seen in the software tool, TurtleSeg. We show that in both implementations, our method makes better decisions than user intuition and greatly reduces user interaction time.

Automated Confidence-based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation

Automated Confidence-based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation PDF Author: Andrew Alexander Bernardus Top
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 140

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Book Description
In this thesis, we improve the standard 3D medical image interactive segmentation workflow. Drawing from the field of Active Learning, we propose a method for automating the process of deciding where the user should provide input next for optimally improving the segmentation. Specifically, we evaluate a given intermediate segmentation by constructing an uncertainty field over the image domain based on a multitude of segmentation quality metrics. We then find the plane that intersects with maximal uncertainty, and present it to the user for segmentation as an active batch query. We demonstrate the method through two embodiments, one using the Random Walker segmentation algorithm, and the other using the 3D Livewire method as seen in the software tool, TurtleSeg. We show that in both implementations, our method makes better decisions than user intuition and greatly reduces user interaction time.

Advances in Visual Computing

Advances in Visual Computing PDF Author: George Bebis
Publisher: Springer
ISBN: 3319278576
Category : Computers
Languages : en
Pages : 942

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Book Description
The two volume set LNCS 9474 and LNCS 9475 constitutes the refereed proceedings of the 11th International Symposium on Visual Computing, ISVC 2015, held in Las Vegas, NV, USA in December 2015. The 115 revised full papers and 35 poster papers presented in this book were carefully reviewed and selected from 260 submissions. The papers are organized in topical sections: Part I (LNCS 9474) comprises computational bioimaging; computer graphics; motion and tracking; segmentation; recognition; visualization; mapping; modeling and surface reconstruction; advancing autonomy for aerial robotics; medical imaging; virtual reality; observing humans; spectral imaging and processing; intelligent transportation systems; visual perception and robotic systems. Part II (LNCS 9475): applications; 3D computer vision; computer graphics; segmentation; biometrics; pattern recognition; recognition; and virtual reality.

Medical Computer Vision

Medical Computer Vision PDF Author: Bjoern Menze
Publisher: Springer
ISBN: 3642184219
Category : Computers
Languages : en
Pages : 235

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010. The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The papers explore the use of modern image recognition technology in tasks such as semantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, and general-purpose automatic understanding of medical images.

Patch-Based Techniques in Medical Imaging

Patch-Based Techniques in Medical Imaging PDF Author: Guorong Wu
Publisher: Springer
ISBN: 3319281941
Category : Computers
Languages : en
Pages : 225

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Patch-based Techniques in Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 25 full papers presented in this volume were carefully reviewed and selected from 35 submissions. The topics covered are such as image segmentation of anatomical structures or lesions; image enhancement; computer-aided prognostic and diagnostic; multi-modality fusion; mono and multi modal image synthesis; image retrieval; dynamic, functional physiologic and anatomic imaging; super-pixel/voxel in medical image analysis; sparse dictionary learning and sparse coding; analysis of 2D, 2D+t, 3D, 3D+t, 4D, and 4D+t data.

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging PDF Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 373

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Book Description
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Innovative Techniques in Instruction Technology, E-learning, E-assessment and Education

Innovative Techniques in Instruction Technology, E-learning, E-assessment and Education PDF Author: Magued Iskander
Publisher: Springer Science & Business Media
ISBN: 140208739X
Category : Computers
Languages : en
Pages : 613

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Book Description
Innovative Techniques in Instruction Technology, E-Learning, E-Assessment and Education is a collection of world-class paper articles addressing the following topics: (1) E-Learning including development of courses and systems for technical and liberal studies programs; online laboratories; intelligent testing using fuzzy logic; evaluation of on line courses in comparison to traditional courses; mediation in virtual environments; and methods for speaker verification. (2) Instruction Technology including internet textbooks; pedagogy-oriented markup languages; graphic design possibilities; open source classroom management software; automatic email response systems; tablet-pcs; personalization using web mining technology; intelligent digital chalkboards; virtual room concepts for cooperative scientific work; and network technologies, management, and architecture. (3) Science and Engineering Research Assessment Methods including assessment of K-12 and university level programs; adaptive assessments; auto assessments; assessment of virtual environments and e-learning. (4) Engineering and Technical Education including cap stone and case study course design; virtual laboratories; bioinformatics; robotics; metallurgy; building information modeling; statistical mechanics; thermodynamics; information technology; occupational stress and stress prevention; web enhanced courses; and promoting engineering careers. (5) Pedagogy including benchmarking; group-learning; active learning; teaching of multiple subjects together; ontology; and knowledge representation. (6) Issues in K-12 Education including 3D virtual learning environment for children; e-learning tools for children; game playing and systems thinking; and tools to learn how to write foreign languages.

Virtual Colonoscopy

Virtual Colonoscopy PDF Author: Philippe Lefere
Publisher: Springer Science & Business Media
ISBN: 3540798862
Category : Medical
Languages : en
Pages : 249

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Book Description
Rapid progress in the technique and practice of virtual colonoscopy as well as the conti- ing clinical high interest for this radiodiagnostic procedure made this second edition, only 3 years after the publication of the ? rst edition of this successful volume, necessary. This new edition includes the latest study results and technical developments of this exciting noninvasive diagnostic modality for the evaluation of the colon. The technical presentation and lay out of the text and of the many new illustrations are impeccable. The editors were again able to ensure the collaboration of many international leaders in the ? eld and the book offers a very comprehensive overview of all aspects and issues of CT colonography with a focus on how to perform practically this examination, which requires meticulous technique starting from rigorous preparation, then the conduct of the study itself, and ? nally the interpretation of the results. I am very much indebted to the editors and the collaborating authors for preparing this outstanding volume in a record short time period, which enabled them to include the latest technical advances in this rapidly evolving important radiological method. It is highly recommended to general and gastrointestinal radiologists as well as gast- eneterologists as a most welcome update of their knowledge and as a practical guide in their daily practice. I am convinced that this second edition will meet the same success with our readership as the ? rst one.

Science Abstracts

Science Abstracts PDF Author:
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1990

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Book Description


Atlas of Early Zebrafish Brain Development

Atlas of Early Zebrafish Brain Development PDF Author: Dr. Thomas Mueller
Publisher: Academic Press
ISBN: 0124172865
Category : Science
Languages : en
Pages : 260

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Book Description
Atlas of Early Zebrafish Brain Development: A Tool for Molecular Neurogenetics, Second Edition, remains the only neuroanatomical expression atlas of important genetic and immunohistochemical markers of this vertebrate model system. It represents a key reference and interpretation matrix for analyzing expression domains of genes involved in Zebrafish brain development and neurogenesis, and serves as a continuing milestone in this research area. This updated volume provides in-situ hybridized and immunostained preparations of complete series of brain sections, revealing markers of the fundamental stages in the life history of neuronal cells in very high quality preparations and photographic plates. Specific additions to this edition include documentation on the distribution of neurons expressing GABA, dopamine and serotonin, material on the basal ganglia, hypothalamus, and the caudal, segmented part of the diencephalon, new theories on the early organization of the telencephalon and thalamus, and integration of a comparative perspective on the mid- and hindbrain. Documentation on the distribution of neurons expressing GABA, dopamine and serotonin Material on the basal ganglia, hypothalamus, and the caudal, segmented part of the diencephalon New theories about the early organization of the telencephalon and thalamus Integration of a comparative perspective on the mid- and hindbrain

Deep Learning in Medical Image Analysis

Deep Learning in Medical Image Analysis PDF Author: Gobert Lee
Publisher: Springer Nature
ISBN: 3030331288
Category : Medical
Languages : en
Pages : 184

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Book Description
This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.