Описание: This book is the first overview on Deep Learning (DL) for biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis.
Автор: Tsai Jeffrey J P & Ng Ka-Lok Название: Computational Methods With Applications In Bioinformatics Analysis ISBN: 9813207973 ISBN-13(EAN): 9789813207974 Издательство: World Scientific Publishing Рейтинг: Цена: 13622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.
The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.
The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 7 full papers presented at GRAIL 2017, the 10 full papers presented at MFCA 2017, and the 5 full papers presented at MICGen 2017 were carefully reviewed and selected. The GRAIL papers cover a wide range of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis prediction, and shape modeling. The MFCA papers deal with theoretical developments in non-linear image and surface registration in the context of computational anatomy. The MICGen papers cover topics in the field of medical genetics, computational biology and medical imaging.
Автор: Changming Sun; Tomasz Bednarz; Tuan D. Pham; Pasca Название: Signal and Image Analysis for Biomedical and Life Sciences ISBN: 3319109839 ISBN-13(EAN): 9783319109831 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Part I Signal Analysis
1. Visual Analytics of Signalling Pathways Using Time Profiles; David K. G. Ma, Christian Stolte, Sandeep Kaur, Michael Bain and Se an I. O'Donoghue
2. Modeling of Testosterone Regulation by Pulse-modulated Feedback; Per Mattsson and Alexander Medvedev
3. Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence; Madawa Priyadarshana, Tatiana Polushina and Georgy Sofronov
4. Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson's Disease; Daniel Jansson, Alexander Medvedev, Hans Axelson and Dag Nyholm
5. Identification of the Reichardt Elementary Motion Detector Model; Egi Hidayat, Alexander Medvedev and Karin Nordstrцm
6. Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics; Valeriy Gavrishchaka, Olga Senyukova and Kristina Davis
7. Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed; Akemi Nomura, Yasuko Ando, Tomohiro Yano, Yosuke Takami, Shoichiro Ito, Takako Sato, Akinobu Nemoto and Hiroshi Arisawa
8. Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means; Guohun Zhu, Yan Li, Peng (Paul) Wen and Shuaifang Wang
9. Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring; Humaira Nisar, Aamir Saeed Malik, Rafi Ullah, Seong-O Shim, Abdullah Bawakid, Muhammad Burhan Khan and Ahmad Rauf Subhani
Part II Image Analysis
10. Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery; Rongxin Li, Dadong Wang, Changming Sun, Ryan Lagerstrom, Hai Tan, You He and Tiqiao Xiao
11. Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks; Tomasz Bednarz, Dadong Wang, Yulia Arzhaeva, Ryan Lagerstrom, Pascal Vallotton, Neil Burdett, Alex Khassapov, Piotr Szul, Shiping Chen, Changming Sun, Luke Domanski, Darren Thompson, Timur Gureyev and John A. Taylor
12. Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey; Ryan Lagerstrom, Katherine Holt, Yulia Arzhaeva, Leanne Bischof, Simon Haberle, Felicitas Hopf and David Lovell
13. Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment; Muhammad Burhan Khan, Xue Yong Lee, Humaira Nisar, Choon Aun Ng, Kim Ho Yeap and Aamir Saeed Malik
14. A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis; Pankaj Kumar, Jinhai Cai and Stan Miklavcic
Автор: Changming Sun; Tomasz Bednarz; Tuan D. Pham; Pasca Название: Signal and Image Analysis for Biomedical and Life Sciences ISBN: 3319359029 ISBN-13(EAN): 9783319359021 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Part I Signal Analysis
1. Visual Analytics of Signalling Pathways Using Time Profiles; David K. G. Ma, Christian Stolte, Sandeep Kaur, Michael Bain and Se an I. O'Donoghue
2. Modeling of Testosterone Regulation by Pulse-modulated Feedback; Per Mattsson and Alexander Medvedev
3. Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence; Madawa Priyadarshana, Tatiana Polushina and Georgy Sofronov
4. Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson's Disease; Daniel Jansson, Alexander Medvedev, Hans Axelson and Dag Nyholm
5. Identification of the Reichardt Elementary Motion Detector Model; Egi Hidayat, Alexander Medvedev and Karin Nordstrцm
6. Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics; Valeriy Gavrishchaka, Olga Senyukova and Kristina Davis
7. Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed; Akemi Nomura, Yasuko Ando, Tomohiro Yano, Yosuke Takami, Shoichiro Ito, Takako Sato, Akinobu Nemoto and Hiroshi Arisawa
8. Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means; Guohun Zhu, Yan Li, Peng (Paul) Wen and Shuaifang Wang
9. Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring; Humaira Nisar, Aamir Saeed Malik, Rafi Ullah, Seong-O Shim, Abdullah Bawakid, Muhammad Burhan Khan and Ahmad Rauf Subhani
Part II Image Analysis
10. Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery; Rongxin Li, Dadong Wang, Changming Sun, Ryan Lagerstrom, Hai Tan, You He and Tiqiao Xiao
11. Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks; Tomasz Bednarz, Dadong Wang, Yulia Arzhaeva, Ryan Lagerstrom, Pascal Vallotton, Neil Burdett, Alex Khassapov, Piotr Szul, Shiping Chen, Changming Sun, Luke Domanski, Darren Thompson, Timur Gureyev and John A. Taylor
12. Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey; Ryan Lagerstrom, Katherine Holt, Yulia Arzhaeva, Leanne Bischof, Simon Haberle, Felicitas Hopf and David Lovell
13. Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment; Muhammad Burhan Khan, Xue Yong Lee, Humaira Nisar, Choon Aun Ng, Kim Ho Yeap and Aamir Saeed Malik
14. A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis; Pankaj Kumar, Jinhai Cai and Stan Miklavcic
Описание: This book constitutes the refereed joint proceedings of the Second International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2018 and the First International Workshop on Integrating Medical Imaging and Non-Imaging Modalities, Beyond MIC 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 6 full papers presented at GRAIL 2018 and the 5 full papers presented at BeYond MIC 2018 were carefully reviewed and selected. The GRAIL papers cover a wide range of develop graph-based models for the analysis of biomedical images and encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts. The Beyond MIC papers cover topics of novel methods with significant imaging and non-imaging components, addressing practical applications and new datasets
Автор: Natasha Lepore; Jorge Brieva; Eduardo Romero; Dani Название: Processing and Analysis of Biomedical Information ISBN: 3030138348 ISBN-13(EAN): 9783030138349 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the First International SIPAIM Workshop on Processing and Analysis of Biomedical Information, SaMBa 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 14 full papers presented were carefully reviewed and selected for inclusion in this volume.
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: 24392.00 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.
Описание: This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.
Автор: Obeid Название: Biomedical Sensing and Analysis ISBN: 3030993825 ISBN-13(EAN): 9783030993825 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), it examines the vital role signal processing plays in enabling a new generation of technology based on big data and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology. * Presents an interdisciplinary look at research trends in signal processing and biomedicine; * Promotes collaboration between healthcare practitioners and signal processing researchers; * Includes tutorials and examples of successful applications.
Название: Deep sequencing data analysis ISBN: 1627035133 ISBN-13(EAN): 9781627035132 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details key data analysis procedures for deep sequencing data interpretation. It includes lists of necessary materials and reagents; step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls.
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