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Reconstruction, Segmentation, and Analysis of Medical Images

Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First International Workshop on Reconstruction and Analysis;

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Guide to Medical Image Analysis: Methods and Algorithms

of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded;

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Computational Intelligence in Medical Imaging

medical image segmentation, and the reconstruction of SPECT and PET tomographic images.;

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Computational Intelligence in Medical Imaging

medical image segmentation, and the reconstruction of SPECT and PET tomographic images.;

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Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications

; image registration, denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and;

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Level Set and PDE Based Reconstruction Methods in Imaging: Cetraro, Italy 2008, Editors

denoising, segmentation and shape analysis in images, and image matching. For each, the lecture notes provide insights into the basic analysis;

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Patch-Based Techniques in Medical Imaging

; segmentation; Alzheimer's disease; reconstruction, denoising, super-resolution; tumor, lesion; and classification, retrival.;

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Level Set Method in Medical Imaging Segmentation

motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and;

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Image Processing in Radiation Therapy

Images from CT, MRI, PET, and other medical instrumentation have become central to the radiotherapy process in the past two decades, thus;

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Medical Image Understanding and Analysis

in topical sections on liver analysis, medical image analysis, texture and image analysis, MRI: applications and techniques, segmentation in medical;

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Computational Modelling of Objects Represented in Images. Fundamentals, Methods and Applications

comprehensive coverage of the current state-of-the-art in the fields of: - Image Processing and Analysis; - Image Segmentation; - Data;

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Biomedical Image Analysis

tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical;

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Medical Image Understanding and Analysis

reconstruction; diagnosis, classification and treatment; vessel and nerve analysis; image registration; image segmentation; ophthalmic imaging; and;

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Medical Image Processing, Reconstruction and Analysis

yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis - Concepts;

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Medical Image Understanding and Analysis

This book constitutes the refereed proceedings of the 24th Conference on Medical Image Understanding and Analysis, MIUA 2020, held in July;

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Landmarking and Segmentation of 3D CT Images

-positive error, and to improve the result of segmentation of neuroblastic tumors. Table of Contents: Introduction to Medical Image Analysis;

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Towards Image Understanding

and level set methods applied to the medical image segmentation is presented. The studied DCMs are compared using both qualitative and;

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Hybrid Image Processing Methods for Medical Image Examination

In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation;

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Combinatorial Image Analysis

, and reconstruction, medical image processing.;

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Simulation and Synthesis in Medical Imaging

synthesis and simulation in medical imaging such as image interpolation and segmentation, image reconstruction, cell imaging, and blood flow.;

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Hybrid Machine Intelligence for Medical Image Analysis

the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

have been organized in the following topical sections: image reconstruction and motion modeling; machine learning in medical image computing;

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Image Processing in Diabetic Related Causes

This book is a collection of all the experimental results and analysis carried out on medical images of diabetic related causes. The;

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Deep Network Design for Medical Image Computing

classification, detection, segmentation, registration, reconstruction and synthesis of medical images;

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Image Analysis and Recognition

computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and;

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