Prostate lesion delineation from multiparametric magnetic resonance imaging based on locality alignment discriminant analysis

Author:

Lin Mingquan1,Chen Weifu21,Zhao Mingbo3,Gibson Eli45,Bastian-Jordan Matthew6,Cool Derek W.6,Kassam Zahra67,Liang Huageng8,Chow Tommy W.S.1,Ward Aaron D.97,Chiu Bernard1

Affiliation:

1. Department of Electronic Engineering; City University of Hong Kong; Hong Kong China

2. School of Mathematics; Sun Yat-sen University; Guangzhou Guangdong China

3. School of Information Science and Technology; Donghua University; Shanghai China

4. Biomedical Engineering; University of Western Ontario; London Ontario Canada

5. Centre for Medical Image Computing; University College London; London UK

6. Department of Medical Imaging; University of Western Ontario; London Ontario Canada

7. Lawson Health Research Institute; London Ontario Canada

8. Department of Urology; Union Hospital; Tongji Medical College; Huazhong University of Science and Technology; Wuhan Hubei China

9. Department of Medical Biophysics; University of Western Ontario; London Ontario Canada

Funder

Science Technology and Innovation Committee of Shenzhen Municipality, China

Research Grant Council of the HKSAR, China

City University of Hong Kong

Publisher

Wiley

Subject

General Medicine

Reference48 articles.

1. Trends in prostate cancer in the United States;Brawley;J Natl Cancer Inst Monogr,2012

2. The burden of prostate cancer in Canada;Fradet;Can Urol Assoc J,2009

3. Centre for Health Protection, Department of Health, The Government of Hong Kong Prostate Cancer http://www.chp.gov.hk/en/content/9/25/5781.html

4. Fully automatic prostate segmentation from transrectal ultrasound images based on radial bas-relief initialization and slice-based propagation;Yu;Comput Biol Med,2016

5. Segmentation of prostate contours for automated diagnosis using ultrasound images: a survey;Singh;J Comput Sci,2017

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