Biomedical image analysis and machine learning technologies : applications and techniques
著者
書誌事項
Biomedical image analysis and machine learning technologies : applications and techniques
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Medical Information Science Reference, c2010
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注記
Includes bibliographical references and index
収録内容
- From biomedical image analysis to biomedical image understanding using machine learning / Eduardo Romero, Fabio González
- Computer-aided detection and diagnosis of breast cancer using machine learning, texture and shape features / Geraldo Braz Júnior ... [et al.]
- Machine learning for automated polyp detection in computed tomography colonography / Abhilash Alexander Miranda, Olivier Caelen, Gianluca Bontempi
- Variational approach based image pre-processing techniques for virtual colonoscopy / Dongqing Chen ... [et al.]
- Machine learning for brain image segmentation / Jonathan Morra ... [et al.]
- A genetic algorithm-based level set curve evolution for prostate segmentation on pelvic CT and MRI images / Payel Ghosh ... [et al.]
- Genetic adaptation of level sets parameters for medical imaging segmentation / Dário A.B. Oliveira, Raul Q. Feitosa, Mauro M. Correia
- Automatic analysis of microscopic images in hematological cytology applications / Gloria Díaz, Antoine Manzanera
- Biomedical microscopic image processing by graphs / Vinh-Thong Ta, Olivier Lézoray, and Abderrahim Elmoataz
- Assessment of kidney function using dynamic contrast enhanced MRI techniques / Melih S. Aslan ... [et al.]
- Ensemble of neural networks for automated cell phenotype image classification / Loris Nanni, Alessandra Lumini
- Content-based access to medical image collections / Juan C. Caicedo, Jorge E. Camargo, Fabio A. González
- Predicting complex patterns of human movements using bayesian online learning in medical imaging applications / Francisco Gómez, Fabio Martínez, Eduardo Romero
- Left ventricle segmentation and motion analysis in multislice computerized tomography / Antonio Bravo ... [et al.]
内容説明・目次
内容説明
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, serving as a leading industry reference.
目次
Cardiac motion analysis Computed tomography colonography Computer-aided detection and diagnosis Content-based visual information retrieval Diagnosis of disease in medical images Filtered and compressed medical images Machine learning in biomedical image processing Medical image classification Spatial regularization processing Tissue microscopic image analysis Tissue segmentation
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