Prostate Cancer Imaging: Computer-Aided Diagnosis, Prognosis, and Intervention: International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010, Proceedings | Agenda Bookshop Skip to content
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B01=Aaron Fenster
B01=Anant Madabhushi
B01=Jason Dowling
B01=Nobuhiko Hata
B01=Pingkun Yan
B01=Purang Abolmaesumi
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Prostate Cancer Imaging: Computer-Aided Diagnosis, Prognosis, and Intervention: International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010, Proceedings

English

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 is no standardized ima- based screening protocol for early detection of CAP (unlike for breast cancers). In the USA high levels of prostate-specific antigen (PSA) warrant a trans-rectal ultrasound (TRUS) biopsy to enable histologic confirmation of presence or absence of CAP. With recent rapid developments in multi-parametric radiological imaging te- niques (spectroscopy, dynamic contrast enhanced MR imaging, PET, RF ultrasound), some of these functional and metabolic imaging modalities are allowing for definition of high resolution, multi-modal signatures for prostate cancer in vivo. Distinct com- tational and technological challenges for multi-modal data registration and classifi- tion still remain in leveraging this multi-parametric data for directing therapy and optimizing biopsy. Additionally, with the recent advent of whole slide digital sc- ners, digitized histopathology has become amenable to computerized image analysis. While it is known that outcome of prostate cancer (prognosis) is highly correlated with Gleason grade, pathologists often have difficulty in distinguishing between interme- ate Gleason grades from histopathology. Development of computerized image analysis methods for automated Gleason grading and predicting outcome on histopathology have to confront the significant computational challenges associated with working these very large digitized images. See more
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Age Group_Uncategorizedautomatic-updateB01=Aaron FensterB01=Anant MadabhushiB01=Jason DowlingB01=Nobuhiko HataB01=Pingkun YanB01=Purang AbolmaesumiCategory1=Non-FictionCategory=UMLCategory=UYMCategory=UYQPCategory=UYQVCategory=UYTCategory=UYZCOP=GermanyDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Publication Date: 03 Sep 2010
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publication City/Country: Germany
  • Language: English
  • ISBN13: 9783642159886

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