Computational Intelligence in Biomedical Imaging
This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patientsâ_T medical conditions and clues to causes of their sympt...
Guardado en:
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
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| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-1-4614-7245-2 |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- Brain Disease Classification and Progression using Machine Learning Techniques
- The Role of Content-Based Image Retrieval in Mammography CAD
- A Novel Image-based Approach for Early Detection of Prostate Cancer using DCE-MRI
- Computational Intelligent Image Analysis for Assisting Radiation Oncologistsâ_T Decision Making in Radiation Treatment Planning
- Computational Anatomy in the Abdomen: Automated Multi-Organ and Tumor Analysis from Computed Tomography
- Liver Volumetry in MRI by using Fast Marching Algorithm Coupled with 3D Geodesic Active Contour Segmentation
- Computer-aided Image Analysis for Vertebral Anatomy on X-ray CT Images
- Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning and Level Set Optimization
- Bone Suppression in Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined with Total Variation Minimization Smoothing and Consistency Processing
- Image Segmentation for Connectomics using Machine Learning
- Image Analysis Techniques for the Quantification of Brain Tumors on MR Images
- Respiratory and Cardiac Function Analysis on the Basis of Dynamic Chest Radiography
- Adaptive Noise Reduction and Edge Enhancement in Medical Images by using ICA
- Subtraction Techniques for CT and DSA and Automated Detection of Lung Nodules in 3D CT.