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Prostate cancer grading: Gland segmentation and structural features

  • Published:2012-05 Issue:7 Volume:33 Page:951-961
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Nguyen Kien,Sabata Bikash,Jain Anil K.

Funder

Ministry of Education, Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference22 articles.

1. Measurement of prostate-specific antigen in serum as a screening test for prostate cancer;Catalona;New Engl. J. Med.,1991

2. Active shape models-their training and application;Cootes;Comput. Vision Image Understand.,1995

3. Active appearance models;Cootes;IEEE Transactions on Pattern Anal. Machine Intell.,2001

4. The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia;Diamond;Hum. Pathol.,2004

5. A boosting cascade for automated detection of prostate cancer from digitized histology;Doyle;MICCAI,2006

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