Deep Learning in Medical Image Analysis: Recent Advances and Future Trends, Indrakumari, R ; Kumar, T Ganesh ; Murugan, D ; P
Автор: Parmanand Astya, Prasenjit Chatterjee, Sudeshna Chakraborty Название: Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions ISBN: 1685074499 ISBN-13(EAN): 9781685074494 Издательство: Nova Science Рейтинг: Цена: 149940.00 T Наличие на складе: Невозможна поставка. Описание: Machine learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks. Large organisations thoughtfully apply machine learning algorithms with extensive research teams. The purpose of this book is to provide an intellectual introduction to statistical or machine learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise.
Statistical analysis is an integral part of machine learning and can be described as a form of it, often even utilising well-known and familiar techniques, that has a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data.
Автор: Liao, Haofu (applied Scientist, Rekognition And Video Analysis Team, Amazon Web Services, Inc, Ca, Usa) Zhou, S. Kevin (professor, Institute Of Comput Название: Deep network design for medical image computing ISBN: 012824383X ISBN-13(EAN): 9780128243831 Издательство: Elsevier Science Рейтинг: Цена: 95390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: He is exactly what this age needs, a real voice of universal spirituality. His appeal is urgent, human and sacred. DAN CRUSEY Sidney, Ohio Each era has its own prophet poets. Russia has been praying and is praying poems by Pushkin, a holy name for every Russian. Ayaz seems to touch us with that sensitivity, inspiring and changing the rhythm of our breathing. SEBARITA KAKHOVSKAYA Ukraine His words transform you through a subtle Alchemy process, and you suddenly travel from a Neophyte to the Connoisseur of Mysteries. His poetry is a gateway to the stars ELLURA ZURIA Rhn, Germany Reading Ayaz is akin to a journey into the
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 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 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.
Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications.
Tentative Table of Contents/Topic Coverage:?
- Neural Computation
- Evolutionary Computing Methods
- Neuroscience driven AI Inspired Algorithms
- Biological System based algorithms
- Hybrid and Intelligent Computing Algorithms
- Application of Natural Computing
- Review and State of art analysis of Optimization algorithms
- Molecular and Quantum computing applications
- Swarm Intelligence
- Population based algorithm and other optimizations
Автор: Rani Panigrahi, Chhabi ; Pati, Bibudhendu ; Rath, Название: Computational Modeling and Data Analysis in COVID-19 Research ISBN: 0367684284 ISBN-13(EAN): 9780367684280 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Husty, Manfred, Hofbaur, Michael (Eds.) Название: New trends in medical and service robots. ISBN: 3319599712 ISBN-13(EAN): 9783319599717 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Нет в наличии. Описание: These are selected papers presented at the 5th International Workshop on Medical and Service Robots (MESROB 2016). Kinematic and mechatronic design for medical and assistive robotics; The workshop brought together researchers and practitioners to discuss new and emerging topics of Medical and Service Robotics.
Автор: Manfred Husty; Michael Hofbaur Название: New Trends in Medical and Service Robots ISBN: 3319867490 ISBN-13(EAN): 9783319867496 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Нет в наличии. Описание: These are selected papers presented at the 5th International Workshop on Medical and Service Robots (MESROB 2016). The main topics of the workshop included: Exoskeleton and prostheses; Therapeutic robots and rehabilitation; Cognitive robots; Humanoid & Service robots; Assistive robots and elderly assistance; Surgical robots; Human-robot interfaces; Kinematic and mechatronic design for medical and assistive robotics; and Legal issues in medical robotics. The workshop brought together researchers and practitioners to discuss new and emerging topics of Medical and Service Robotics. The meeting took place at castle St. Martin in Graz, Austria, from 4-6 July, 2016.
Автор: Danail Stoyanov; Zeike Taylor; Francesco Ciompi; Y Название: Computational Pathology and Ophthalmic Medical Image Analysis ISBN: 3030009483 ISBN-13(EAN): 9783030009489 Издательство: Springer Рейтинг: Цена: 61480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Computational Pathology, COMPAY 2018, and the 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 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 19 full papers (out of 25 submissions) presented at COMPAY 2018 and the 21 full papers (out of 31 submissions) presented at OMIA 2018 were carefully reviewed and selected. The COMPAY papers focus on artificial intelligence and deep learning. The OMIA papers cover various topics in the field of ophthalmic image analysis.
Автор: Danail Stoyanov; Zeike Taylor; Enzo Ferrante; Adri Название: Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities ISBN: 3030006883 ISBN-13(EAN): 9783030006884 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Huazhu Fu; Mona K. Garvin; Tom MacGillivray; Yanwu Название: Ophthalmic Medical Image Analysis ISBN: 3030329550 ISBN-13(EAN): 9783030329556 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Dictionary Learning Informed Deep Neural Network with Application to OCT Images.- Structure-aware Noise Reduction Generative Adversarial Network for Optical Coherence Tomography Image.- Region-Based Segmentation of Capillary Density in Optical Coherence Tomography Angiography.- An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans.- Foveal avascular zone segmentation in clinical routine fluorescein angiographies using multitask learning.- Guided M-Net for High-resolution Biomedical Image Segmentation with Weak Boundaries.- 3D-CNN for Glaucoma Detection using Optical Coherence Tomography.- Semi-supervised Adversarial Learning for Diabetic Retinopathy Screening.- Shape Decomposition of Foveal Pit Morphology using Scan Geometry Corrected OCT.- U-Net with spatial pyramid pooling for drusen segmentation in optical coherence tomography.- Deriving Visual Cues from Deep Learning to Achieve Subpixel Cell Segmentation in Adaptive Optics Retinal Images.- Robust Optic Disc Localization by Large Scale Learning.- The Channel Attention based Context Encoder Network for Inner Limiting Membrane Detections.- Fundus Image based Retinal Vessel Segmentation Utilizing A Fast and Accurate Fully Convolutional Network.- Network pruning for OCT image classification.- An improved MPB-CNN segmentation method for edema area and neurosensory retinal detachment in SD-OCT images.- Encoder-Decoder Attention Network for Lesion Segmentation of Diabetic Retinopathy.- Multi-Discriminator Generative Adversarial Networks for improved thin retinal vessel segmentation.- Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior.- Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network.- Automated Stage Analysis of Retinopathy of Prematurity Using Joint Segmentation and Multi-Instance Learning.- Retinopathy Diagnosis using Semi-supervised Multi-channel Generative Adversarial Network.
Автор: Siddhartha Bhattacharyya; Debanjan Konar; Jan Plat Название: Hybrid Machine Intelligence for Medical Image Analysis ISBN: 9811389292 ISBN-13(EAN): 9789811389290 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
Автор: Mousumi Gupta; Debanjan Konar; Siddhartha Bhattach Название: Computer Vision and Machine Intelligence in Medical Image Analysis ISBN: 9811387974 ISBN-13(EAN): 9789811387975 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26–27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.
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