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Advanced Concepts in Image Segmentation

Image segmentation and its advanced concepts are highlighted in this book. The area of digital image segmentation is constantly developing;

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Biomedical Image Segmentation

segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation;

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Biomedical Image Segmentation

segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation;

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Towards Image Understanding

segmentation to increase the accuracy of the advanced segmentation.;

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Advanced Concepts for Intelligent Vision Systems

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Concepts for Intelligent Vision Systems;

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Metaheuristic Algorithms for Image Segmentation

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic;

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Metaheuristic Algorithms for Image Segmentation

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic;

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Image Processing with MATLAB

segmentation methods, including thresholding techniques as well as K-means and fuzzy C-means clustering techniques. The authors also explore Markov;

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Geometric Partial Differential Equations And Image Analysis

image segmentation, shape analysis, image enhancement, and tracking. This book will be a useful resource for researchers and practitioners. It;

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Practical Convolutional Neural Networks

, Instance Segmentation, GANs and more Implement powerful use-cases like image captioning, reinforcement learning for hard attention, and recurrent;

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Image Processing in Radiation Therapy

provides a comprehensive description of image segmentation and registration, in-room imaging, and advanced reconstruction techniques. Through many;

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Artificial Intelligence Techniques for Medical Image Analysis

Automated image classification and segmentation techniques are becoming increasingly important in the current medical field for pathology;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention;

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

, BrainLes 2018, as well as the International Multimodal Brain Tumor Segmentation, BraTS, Ischemic Stroke Lesion Segmentation, ISLES, MR Brain Image;

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Python Image Processing Cookbook

advanced image processing tasks Perform image classification, object detection, and face recognition Apply image segmentation and registration;

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at;

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Tumor Segmentation (BRATS) and Ischemic Stroke Lesion Segmentation (ISLES), held in Munich, Germany, on October 5, 2015, in conjunction with the;

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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology;

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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided;

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Biomedical Image Analysis

The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation;

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Multi Modality State of the Art Medical Image Segmentation and Registration Meth

With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical;

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A Beginner's Guide to Image Preprocessing Techniques

morphology transformation, and segmentation pre-processing techniques Illustrates a combination of basic and advanced pre-processing;

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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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Advances in Image Segmentation

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