Principal-component massive-training machine-learning regression for false-positive reduction in computer-aided detection of polyps in CT colonography

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6357 LNCS, Issue , 2010, Pages 182-189

  Suzuki, Kenji ^a   Xu, Jianwu ^a   Zhang, Jun ^a   Sheu, Ivan ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

artificial neural network; colorectal cancer; computer aided diagnosis; pixel based machine learning; support vector machine; virtual colonoscopy

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COLORECTAL CANCER; COMPUTER-AIDED DETECTION; CT COLONOGRAPHY; DIMENSION REDUCTION; FALSE POSITIVE; FALSE-POSITIVE REDUCTION; MACHINE-LEARNING; MEDICAL IMAGES; SUBVOLUMES; TRAINING TIME; VIRTUAL COLONOSCOPY;

COMPUTER NETWORKS; COMPUTERIZED TOMOGRAPHY; ENDOSCOPY; MAMMOGRAPHY; MEDICAL IMAGING; NEURAL NETWORKS; PIXELS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

COMPUTER AIDED DIAGNOSIS;

EID: 77958042769     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15948-0_23     Document Type: Conference Paper

References (15)

1. Suzuki, K., Yoshida, H., Nappi, J., Dachman, A.H.: Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection of polyps: Suppression of rectal tubes. Med. Phys. 33, 3814-3824 (2006)
2. Jerebko, A.K., Malley, J.D., Franaszek, M., Summers, R.M.: Support vector machines committee classification method for computer-aided polyp detection in CT colonography. Academic Radiology 12, 479-486 (2005)
3. Arimura, H., Katsuragawa, S., Suzuki, K., Li, F., Shiraishi, J., Sone, S., Doi, K.: Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening. Acad. Radiol. 11, 617-629 (2004)
4. Suzuki, K., Armato III, S.G., Li, F., Sone, S., Doi, K.: Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Med. Phys. 30, 1602-1617 (2003)
5. Suzuki, K., Shiraishi, J., Abe, H., MacMahon, H., Doi, K.: False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network. Acad. Radiol. 12, 191-201 (2005) (Pubitemid 40269219)
6. Suzuki, K., Yoshida, H., Nappi, J., Armato III, S.G., Dachman, A.H.: Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography. Med. Phys. 35, 694-703 (2008)
7. Suzuki, K., Li, F., Sone, S., Doi, K.: Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. IEEE Trans. Med. Imaging 24, 1138-1150 (2005) (Pubitemid 41337154)
8. Suzuki, K., Abe, H., MacMahon, H., Doi, K.: Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans. Med. Imaging 25, 406-416 (2006)
9. Suzuki, K.: A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD). Phys. Med. Biol. 54, S31-S45 (2009)
10. Suzuki, K., Horiba, I., Sugie, N., Nanki, M.: Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector. IEEE Trans. Med. Imaging 23, 330-339 (2004)
11. Suzuki, K., Horiba, I., Sugie, N.: Neural edge enhancer for supervised edge enhancement from noisy images. IEEE Trans. Pattern Anal. Mach. Intell. 25, 1582-1596 (2003)
12. Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19, 711-720 (1997)
13. Yoshida, H., Nappi, J.: Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps. IEEE Trans. Med. Imaging 20, 1261-1274 (2001)
14. Metz, C.E.: ROC methodology in radiologic imaging. Investigative Radiology 21, 720-733 (1986)
15. Egan, J.P., Greenberg, G.Z., Schulman, A.I.: Operating characteristics, signal detectability, and the method of free response. Journal of the Acoustical Society of America 33, 993-1007 (1961)