Advanced Computational Approaches to Biomedical Engineering

There has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine int...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Saha, Punam K. (Επιμελητής έκδοσης), Maulik, Ujjwal (Επιμελητής έκδοσης), Basu, Subhadip (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I – Advanced Computational Methods
  • Chap. 1 – Graph Algorithmic Techniques for Biomedical Image Segmentation
  • Chap. 2 – Information Theoretic Clustering for Medical Image Segmentation
  • Chap. 3 – Multiobjective Differential Evolution Based Fuzzy Clustering for MR Brain Image Segmentation
  • Chap. 4 – Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics
  • Chap. 5 – A Meta-learning Approach for Protein Function Prediction
  • Part II – Biomedical Applications
  • Chap. 6 – Segmentation of the Carotid Arteries from 3D Ultrasound Images
  • Chap. 7 – Contemporary Problems in Quantitative Image Analysis in Structural Neuronal Plasticity
  • Chap. 8 – Advanced MRI of Cartilage and Subchondral Bone in Osteoarthritis
  • Chap. 9 – Computer Vision Based Hairline Mandibular Fracture Detection from Computed Tomography Images.