Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention International Workshop, Held in Conjunction with MICCAI 2010, Beijing,China, September 24, 2010. Proceedings /

Prostatic adenocarcinoma (CAP) is the second most common malignancy with an estimated 190,000 new cases in the USA in 2010 (Source: American Cancer Society), and is the most frequently diagnosed cancer among men. If CAP is caught early, men have a high, five-year survival rate. Unfortunately there i...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Madabhushi, Anant (Επιμελητής έκδοσης), Dowling, Jason (Επιμελητής έκδοσης), Yan, Pingkun (Επιμελητής έκδοσης), Fenster, Aaron (Επιμελητής έκδοσης), Abolmaesumi, Purang (Επιμελητής έκδοσης), Hata, Nobuhiko (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Lecture Notes in Computer Science, 6367
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Prostate Cancer MR Imaging
  • Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications
  • Prostate Cancer Segmentation Using Multispectral Random Walks
  • Automatic MRI Atlas-Based External Beam Radiation Therapy Treatment Planning for Prostate Cancer
  • An Efficient Inverse-Consistent Diffeomorphic Image Registration Method for Prostate Adaptive Radiotherapy
  • Atlas Based Segmentation and Mapping of Organs at Risk from Planning CT for the Development of Voxel-Wise Predictive Models of Toxicity in Prostate Radiotherapy
  • Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates
  • HistoCAD: Machine Facilitated Quantitative Histoimaging with Computer Assisted Diagnosis
  • Registration of In Vivo Prostate Magnetic Resonance Images to Digital Histopathology Images
  • High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies
  • Automated Analysis of PIN-4 Stained Prostate Needle Biopsies
  • Augmented Reality Image Guidance in Minimally Invasive Prostatectomy
  • Texture Guided Active Appearance Model Propagation for Prostate Segmentation
  • Novel Stochastic Framework for Accurate Segmentation of Prostate in Dynamic Contrast Enhanced MRI
  • Boundary Delineation in Prostate Imaging Using Active Contour Segmentation Method with Interactively Defined Object Regions.