Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques Premier Reference Source 1st Edition by Fabio Gonzalez, Eduardo Romero ISBN 978-1605669564 1605669563

Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques Premier Reference Source 1st Edition by Fabio A. Gonzalez,  Eduardo Romero – Ebook PDF Instant Download/Delivery:  978-1605669564, 1605669563
Full download Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques Premier Reference Source 1st Edition after payment

Product details: 

ISBN 10: 1605669563

ISBN 13:  978-1605669564

Author: Fabio A. Gonzalez,  Eduardo Romero

Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.

Table of contents: 

Section 1

Introduction

Chapter 1

From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning….

Eduardo Romero, National University of Colombia, Colombia

Fabio González, National University of Colombia, Colombia

Section 2

Feature Extraction

Chapter 2

Computer-Aided Detection and Diagnosis of Breast Cancer Using Machine Learning, Texture and Shape Features

Geraldo Braz Junior, Federal University of Maranhão, Brazil

Leonardo de Oliveira Martins, Pontiphical Catholic University of Rio de Janeiro, Brazil

Aristophanes Corrêa Silva, Federal University of Maranhão, Brazil

Anselmo Cardoso de Paiva, Federal University of Maranhão, Brazil

Chapter 3

Machine Learning for Automated Polyp Detection in Computed Tomography Colonography……….

Abhilash Alexander Miranda, Free University of Brussels, Belgium

Olivier Caelen, Free University of Brussels, Belgium

Gianluca Bontempi, Free University of Brussels, Belgium

Section 3

Machine Learning Based Segmentation

Chapter 4

Variational Approach Based Image Pre-Processing Techniques for Virtual Colonoscopy.

Dongqing Chen, University of Louisville, USA

Aly A. Farag, University of Louisville, USA

Robert L. Falk, Jewish Hospital & St. Mary’s Healthcare, USA

Gerald W. Dryden, University of Louisville, USA

Chapter 5

Machine Learning for Brain Image Segmentation..

Jonathan Morra, University of California Los Angeles, USA

Zhuowen Tu, University of California Los Angeles, USA

Arthur Toga, University of California Los Angeles, USA

Paul Thompson, University of California Los Angeles, USA

Chapter 6

A Genetic Algorithm-Based Level Set Curve Evolution for Prostate Segmentation on Pelvic CT and MRI Images…..

Payel Ghosh, Portland State University, USA

Melanie Mitchell, Portland State University, USA; Santa Fe Institute, USA

James A. Tanyi, Oregon Health and Science University, USA; Oregon State University, USA

Arthur Hung, Oregon Health and Science University, USA

Chapter 7

Genetic Adaptation of Level Sets Parameters for Medical Imaging Segmentation.

Dario A. B. Oliveira, Catholic University of Rio de Janeiro, Brazil

Raul Q. Feitosa, Catholic University of Rio de Janeiro, Brazil

Mauro M. Correia, Unigranrio and National Cancer Institute-INCA, Brazil

Section 4

Biomedical Image Understanding and Interpretation

Chapter 8

Automatic Analysis of Microscopic Images in Hematological Cytology Applications

Gloria Díaz, National University of Colombia, Colombia

Antoine Manzanera, ENSTA-ParisTech, France

Chapter 9

Biomedical Microscopic Image Processing by Graphs.

Vinh-Thong Ta, University of Caen Lower Normandy, ENSICAEN, CNRS, France

Olivier Lézoray, University of Caen Lower Normandy, ENSICAEN, CNRS, France

Abderrahim Elmoataz, University of Caen Lower Normandy, ENSICAEN, CNRS, France

Chapter 10

Assessment of Kidney Function Using Dynamic Contrast Enhanced MRI Techniques.

Melih S. Aslan, University of Louisville, USA

Hossam Abd El Munim, University of Louisville, USA

Aly A. Farag, University of Louisville, USA

Mohamed Abou El-Ghar, University of Mansoura, Egypt

Chapter 11

Ensemble of Neural Networks for Automated Cell Phenotype Image Classification

Loris Nanni, University of Bologna, Italy

Alessandra Lumini, University of Bologna, Italy

Chapter 12

Content-Based Access to Medical Image Collections.

Juan C. Caicedo, National University of Colombia, Colombia

Jorge E. Camargo, National University of Colombia, Colombia

Fabio A. González, National University of Colombia, Colombia

Section 5

Complex Motion Analysis

Chapter 13

Predicting Complex Patterns of Human Movements Using Bayesian Online Learning in Medical Imaging Applications…

Francisco Gómez, National University of Colombia, Colombia

Fabio Martinez, National University of Colombia, Colombia

Eduardo Romero, National University of Colombia, Colombia

Chapter 14

Left Ventricle Segmentation and Motion Analysis in MultiSlice Computerized Tomography

Antonio Bravo, National Experimental University of Táchira, Venezuela

Juan Mantilla, National Experimental University of Táchira, Venezuela

José Clemente, National Experimental University of Táchira, Venezuela

Miguel Vera, University of Los Andes, Venezuela

Rubén Medina, University of Los Andes, Venezuela

People also search for:

    
biomedical imaging applications
    
biomedical imaging informatics
    
biomedical image analysis
    
a biomedical
    
biomedical image processing

Tags: Fabio Gonzalez, Eduardo Romero, Biomedical Image, Analysis and Machine, Applications and Techniques