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...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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Edición: | 1st ed. 2010. |
Colección: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
6367 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.