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 patients’ medical conditions and clues to causes of their symptom...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Suzuki, Kenji (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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 Oncologists’ 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.