Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques: Applications and Techniques
Gonzalez, Fabio A.
IGI Global, Dec 31, 2009 - Computers - 390 pages
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.
What people are saying - Write a review
Section 2 Feature Extraction
ComputerAided Detectionand Diagnosis of Breast CancerUsing Machine LearningTexture and Shape Features
Machine Learning forAutomated Polyp Detectionin Computed TomographyColonography
Variational ApproachBased Image PreProcessing Techniques forVirtual Colonoscopy
Machine Learning for BrainImage Segmentation
A Genetic AlgorithmBasedLevel Set Curve Evolution forProstate Segmentation onPelvic CT and MRI Images
Genetic Adaptation of LevelSets Parameters for MedicalImaging Segmentation
Assessment of Kidney FunctionUsing Dynamic ContrastEnhanced MRI Techniques
Ensemble of Neural Networksfor Automated Cell PhenotypeImage Classification
ContentBased Access toMedical Image Collections
Predicting Complex Patternsof Human Movements UsingBayesian Online Learning inMedical Imaging Applications
Left Ventricle Segmentation andMotion Analysis in MultiSliceComputerized Tomography
Compilation of References
About the Contributors
Automatic Analysis ofMicroscopic Images inHematological CytologyApplications
Biomedical Microscopic ImageProcessing by Graphs