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Biomedical Texture Analysis

Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical;

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Texture Analysis In Machine Vision

Texture analysis is an important generic research area of machine vision. The potential areas of application include biomedical image;

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Biomedical Image Analysis

the emerging challenges. Biomedical Image Analysis demonstrates the benefits reaped from the application of digital image processing;

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Advances in Computational Techniques for Biomedical Image Analysis

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges;

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Modifying Food Texture: Volume 2

Modifying Food Texture, Volume 2: Sensory Analysis, Consumer Requirements and Preferences explores texture as an important aspect;

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Image Analysis and Recognition

, texture, motion and shape; tracking; biomedical image analysis; biometrics; face recognition; image coding, compression and encryption; and;

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Image Texture Analysis

This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to;

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Texture Feature Extraction Techniques for Image Recognition

The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the;

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Introduction to Texture Analysis

The first edition of Introduction to Texture Analysis: Macrotexture, Microtexture, and Orientation Mapping broke new ground by collating;

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Introduction to Texture Analysis

The first edition of Introduction to Texture Analysis: Macrotexture, Microtexture, and Orientation Mapping broke new ground by collating;

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Handbook Of Texture Analysis

Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar;

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Image Processing - Dealing with Texture 2nd Edition

The classic text that covers practical image processing methods and theory for image texture analysis, updated second edition;

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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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Surface Imaging for Biomedical Applications

bridges the gap between engineers and clinicians. This text offers a thorough analysis of biomedical surface imaging to medical practitioners as;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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Biomedical Signal Processing for Healthcare Applications

modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights;

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Mathematical Image Processing

is why they are presented in alphabetic order. However they mainly concern: texture analysis (5 papers) with different techniques (variational;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis;

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RHEED Transmission Mode and Pole Figures

RHEED Transmission Mode and Pole Figures: Thin Film and Nanostructure Texture Analysis is ideal for researchers in materials science and;

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Despeckle Filtering for Ultrasound Imaging and Video, Volume II

is therefore essential for improving the visual observation quality or as a pre-processing step for further automated analysis, such as image/video;

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Statistical Modeling in Biomedical Research

and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their;

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Computer Methods Part A

more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical;

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Data Handling and Analysis

cytopathology to transfusion science. Data Handling and Analysis is the most relevant and useful statistics and data analysis text for biomedical;

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Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field

and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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Computer Methods Part B

more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical;

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