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The Intensity Based Comparison of the Stain Segmentation Methods

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Towards Image Understanding

challenging segmentation applications, such as blur boundary, complex shape, and intensity inhomogeneity. The skeleton-based graph matching algorithm;

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3D Computer Vision: Efficient Methods and Applications

, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three;

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Image Processing with MATLAB

random field (MRF)-based image segmentation, boundary and curvature analysis methods, and parametric and geometric deformable models. The final;

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Reconstruction, Segmentation, and Analysis of Medical Images

of Moving Body Organs, RAMBO 2016, and the First International Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI;

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Pairwise Comparison Matrices and their Fuzzy Extension

arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy;

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Pairwise Comparison Matrices and their Fuzzy Extension

arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy;

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Auto-Segmentation for Radiation Oncology

This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for;

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Medical Image Recognition, Segmentation and Parsing

objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing;

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Level Set Method in Medical Imaging Segmentation

allows for the segmentation and analysis problem to be formulated and solved in a principled way based on well-established mathematical theories;

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Advances in Spatio-Temporal Segmentation of Visual Data

fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information. Sets of meaningful and;

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Skin Cancer Segmentation using Neural Network

explicit pixel based, median filter, difference filter, conservative smoothing and Kohonen neural network for automated segmentation which can;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on;

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Neurocomputing

include a brain-computer interface for analysing investment behaviour and market stability; neural-based image segmentation architecture with;

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Comparison Methods and Stability Theory

This work is based on the International Symposium on Comparison Methods and Stability Theory held in Waterloo, Ontario, Canada. It presents;

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Comparison Methods and Stability Theory

This work is based on the International Symposium on Comparison Methods and Stability Theory held in Waterloo, Ontario, Canada. It presents;

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Segmentation Methods Based On Logistic Type Mixture Model

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Extraction of ROI in Geographical Map

have been applied to extract efficient ROI for both road network and waterway from geographical map; one is color based segmentation applying K;

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Guide to Medical Image Analysis: Methods and Algorithms

methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and;

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Lifestyle Market Segmentation

part discusses segmentation theory and various methods for segmentation. The second part explores applications of lifestyle segmentation based;

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Lifestyle Market Segmentation

part discusses segmentation theory and various methods for segmentation. The second part explores applications of lifestyle segmentation based;

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Video Segmentation and Its Applications

Video segmentation has become one of the core areas in visual signal processing research. The objective of Video Segmentation and Its;

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Landmarking and Segmentation of 3D CT Images

tissues in the presence of tumors are difficult. Automatic segmentation of the primary tumor mass in neuroblastoma could facilitate reproducible;

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Multispectral Image Analysis Using the Object-Oriented Paradigm

pixel-based classification. It examines the creation of object primitives using image segmentation approaches and the use of various techniques;

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Multispectral Image Analysis Using the Object-Oriented Paradigm

pixel-based classification. It examines the creation of object primitives using image segmentation approaches and the use of various techniques;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2020

Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology;

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