Cholangiocarcinoma-An automated preliminary detection system using MLP

Journal of Medical Systems

Volumn 33, Issue 6, 2009, Pages 413-421

  Logeswaran, Rajasvaran ^a,b  

^a Soongsil University   (South Korea)

^b MULTIMEDIA UNIVERSITY   (Malaysia)

Author keywords

Bile ducts; Cancer; Computer aided diagnosis; Magnetic resonance cholangiopancreatography (MRCP); Tumor

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BILE DUCT CARCINOMA; CANCER DIAGNOSIS; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; DIAGNOSTIC ACCURACY; MAGNETIC RESONANCE CHOLANGIOPANCREATOGRAPHY; PHYSICIAN; RADIODIAGNOSIS;

ALGORITHMS; BILE DUCT NEOPLASMS; BILE DUCTS, INTRAHEPATIC; CHOLANGIOCARCINOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS (COMPUTER);

EID: 70350236556     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-008-9203-3     Document Type: Article

References (19)

1. C. R. Meyer H. Park J. M. Balter P. H. Bland 2003 Method for quantifying volumetric lesion change in interval liver CT examinations Med. Imaging 22 6 776 781
2. Cobzas, D., Birkbeck, N., Schmidt, M., Jagersand, M., and Murtha, A., 3D Variational brain tumor segmentation using a high dimensional feature set. Workshop on Mathematical Methods in Biomedical Image Analysis. 1-8, 2007.
3. A. Degenhard C. Tanner C. Hayes D. J. Hawkes M. O. Leach Study t.U.M.B.S. 2002 Comparison between radiological and artificial neural network diagnosis in clinical screening Physiol. Meas 23 4 727 739
4. A. M. Marchevsky J. A. Tsou I. A. Laird-Offringa 2004 Classification of individual lung cancer cell lines based on DNA methylation markers use of linear discriminant analysis and artificial neural networks J. Mol. Diagnostics 6 1 28 36
5. A. M. Ippolito M. D. Laurentiis G. L. L. Rosa A. Eleuteri R. Tagliaferri S. D. Placido, et al. 2004 Immunostaining for Met/HGF receptor may be useful to identify malignancies in thyroid lesions classified suspicious at fine-needle aspiration biopsy Thyroid 14 12 1065 1071
6. T. Patel 2002 Worldwide trends in mortality from biliary tract malignancies BMC Cancer 2 10 PMID 11991810.
7. J-H. Yoon G. J. Gores 2003 Diagnosis, staging, and treatment of cholangiocarcinoma Curr. Treatm. Opt. Gastroenterol 6 105 112
8. UCSF Medical Center. Cholangiocarcinoma. Retrieved May 24 2008, from http://www.ucsfhealth.org/adult/medical-services/gastro/cholangiocarcinoma/ conditions/cholang/signs.html, 2008.
9. Chari, R. S., Lowe, R. C., Afdhal, N. H., and Anderson, C., Clinical manifestations and diagnosis of cholangiocarcinoma. UpToDate. Retrieved May 24 2008, from http://www.uptodate.com/patients/content/topic.do?topicKey=gicancer/ 23806, 2008.
10. NIDDK-National Institute of Diabetes and Digestive and Kidney Diseases. Digestive diseases dictionary A-D: biliary track. National Digestive Diseases Information Clearinghouse (NDDIC). Retrieved February 21 2008, from http://digestive.niddk.nih.gov/ddiseases/pubs/dictionary/pages/a-d.htm, 2008.
11. Prince, M. R. MRCP Protocol. Retrieved 2008 May 25, from http://www.mrprotocols.com/MRI/Abdomen/MRCP-Dr.P-Protocol.htm, 2000.
12. Robinson, K. Efficient pre-segmentation. PhD thesis, Dublin City University, from http://www.eeng.dcu.ie/∼robinsok/pdfs/Robinson PhDThesis2005.pdf, 2005.
13. L. Vincent P. Soille 1991 Watersheds in digital spaces: an efficient algorithm based on immersion simulations Transactions on Pattern Analysis and Machine Intelligence 13 583 598
14. R. Logeswaran 2006 Neural networks aided stone detection in thick slab MRCP images Med. Biol. Eng. Comput 44 8 711 719
15. R. Logeswaran 2005 Scale-space segment growing for hierarchical detection of biliary tree structure International Journal of Wavelets, Multiresolution and Information Processing 3 1 125 140
16. Ripley, B. D., Statistical ideas for selecting network architectures. Neural Networks: Artificial Intelligence and Industrial Application. Springer, 183-190, 1995.
17. A. Roy 2000 Artificial neural networks-a science in trouble Special Interest Group on Knowledge Discovery and Data Mining 1 33 38
18. R. Logeswaran C. Eswaran 2006 Discontinuous region growing scheme for preliminary detection of tumor in MRCP images J. Med. Syst 30 4 317 324
19. G. Schwarzer W. Vach M. Schumacher 2000 On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology Stat. Med 19 541 561