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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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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.