Computational Pathology and Ophthalmic Medical Image Analysis, Danail Stoyanov; Zeike Taylor; Francesco Ciompi; Y
Автор: K. Kamalanand, B. Thayumanavan, P. Mannar Jawahar Название: Computational Techniques for Dental Image Analysis ISBN: 1522562435 ISBN-13(EAN): 9781522562436 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35402.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries.Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.
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: MBIA.- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm.- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction.- Exploring Functional Connectivity Biomarker in Autism Using Group-wise Sparse Representation.- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding.- Mapping the spatio-temporal functional coherence in the resting brain.- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA.- Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism Spectral Brains.- Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Autoencoder.- 3D Convolutional Long-short Term Memory Network for Spatiotemporal Modeling of fMRI Data.- Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype Association Study.- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network.- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation.- BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes.- Structural Similarity based Anatomical and Functional Brain Imaging Fusion.- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution.- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.- MFCA.- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models.- 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm.- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development.- Surface Foliation Based Brain Morphometry Analysis.- Mixture Probabilistic Principal Geodesic Analysis.- A Geodesic Mixed Effects Model in Kendall's Shape Space.- An as-invariant-as-possible GL+(3)-based Statistical Shape Model.
Автор: Joao Tavares; R. M. Natal Jorge Название: Advances in Computational Vision and Medical Image Processing ISBN: 904818066X ISBN-13(EAN): 9789048180660 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present book contains extended versions of papers presented in the Conference VIPIMAGE 2007 - ECCOMAS Thematic Conference on Computational Vision and Medical Image. This ECCOMAS thematic conference was on computational vision and medical image processing.
Автор: M. Jorge Cardoso; Tal Arbel; Andrew Melbourne; Hrv Название: Fetal, Infant and Ophthalmic Medical Image Analysis ISBN: 3319675605 ISBN-13(EAN): 9783319675602 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book constitutes the refereed joint proceedings of the International Workshop on Fetal and Infant Image Analysis, FIFI 2017, and the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 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 8 full papers presented at FIFI 2017 and the 20 full papers presented at OMIA 2017 were carefully reviewed and selected. The FIFI papers feature research on advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period. The OMIA papers cover various topics in the field of ophthalmic image analysis.
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: Trucco, Emanuele Название: Computational Retinal Image Analysis ISBN: 0081028164 ISBN-13(EAN): 9780081028162 Издательство: Elsevier Science Рейтинг: Цена: 21391.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence.
Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations (e.g. anatomical landmarks location, blood vessel segmentation), lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insight into current investigations drawing from artificial intelligence and big data (retinal biomarkers for risk of systemic conditions).
This comprehensive and structured one-stop reference is ideal for researchers and graduate students in retinal image analysis, researchers in computational ophthalmology from computer science, artificial intelligence, biomedical engineering, health informatics, ophthalmology, and precision medicine, as well as optometrists
A unique, well-structured and integrated overview of retinal image analysis
Gives insight into the future such as large-scale screening programs, precision medicine, computer-assisted personalized eye care
Includes plans and aspirations of companies and professional bodies
Автор: Huazhu Fu; Mona K. Garvin; Tom MacGillivray; Yanwu Название: Ophthalmic Medical Image Analysis ISBN: 3030329550 ISBN-13(EAN): 9783030329556 Издательство: Springer Рейтинг: Цена: 6986.00 р. 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.
Описание: Presents the basics of functional analysis, as well as elements of variational equations (on the basis of bi-linear forms), including the Vishik-Lax-Milgram theorem and of generalized solutions of eliptic problems. Sobolev spaces and embedding theorems are introduced.
Автор: Joao Tavares; R. M. Natal Jorge Название: Advances in Computational Vision and Medical Image Processing ISBN: 1402090854 ISBN-13(EAN): 9781402090851 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains papers presented in the international Conference VIPIMAGE 2007 - ECCOMAS Thematic Conference on Computational Vision and Medical Image, held in Faculdade de Engenharia da Universidade do Porto, in 17-19 of October 2007. This book collects the research, methods and ideas on the subject of computational vision and medical image processing.
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