404 related articles for article (PubMed ID: 23258769)
1. Evolutionary algorithm-based classifier parameter tuning for automatic ovarian cancer tissue characterization and classification.
Acharya UR; Mookiah MR; Vinitha Sree S; Yanti R; Martis RJ; Saba L; Molinari F; Guerriero S; Suri JS
Ultraschall Med; 2014 Jun; 35(3):237-45. PubMed ID: 23258769
[TBL] [Abstract][Full Text] [Related]
2. Ovarian tumor characterization using 3D ultrasound.
Acharya UR; Sree SV; Krishnan MM; Saba L; Molinari F; Guerriero S; Suri JS
Technol Cancer Res Treat; 2012 Dec; 11(6):543-52. PubMed ID: 22775335
[TBL] [Abstract][Full Text] [Related]
3. Ovarian tumor characterization and classification using ultrasound-a new online paradigm.
Acharya UR; Sree SV; Saba L; Molinari F; Guerriero S; Suri JS
J Digit Imaging; 2013 Jun; 26(3):544-53. PubMed ID: 23160866
[TBL] [Abstract][Full Text] [Related]
4. Ovarian tumor characterization and classification: a class of GyneScan™ systems.
Acharya UR; Sree VS; Saba L; Molinari F; Guerriero S; Suri JS
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4446-9. PubMed ID: 23366914
[TBL] [Abstract][Full Text] [Related]
5. Ultrasound Image Discrimination between Benign and Malignant Adnexal Masses Based on a Neural Network Approach.
Aramendía-Vidaurreta V; Cabeza R; Villanueva A; Navallas J; Alcázar JL
Ultrasound Med Biol; 2016 Mar; 42(3):742-52. PubMed ID: 26715189
[TBL] [Abstract][Full Text] [Related]
6. GyneScan: an improved online paradigm for screening of ovarian cancer via tissue characterization.
Acharya UR; Sree SV; Kulshreshtha S; Molinari F; En Wei Koh J; Saba L; Suri JS
Technol Cancer Res Treat; 2014 Dec; 13(6):529-39. PubMed ID: 24325128
[TBL] [Abstract][Full Text] [Related]
7. Ovarian tissue characterization in ultrasound: a review.
Acharya UR; Molinari F; Sree SV; Swapna G; Saba L; Guerriero S; Suri JS
Technol Cancer Res Treat; 2015 Jun; 14(3):251-61. PubMed ID: 25230716
[TBL] [Abstract][Full Text] [Related]
8. Computer-aided diagnosis based on quantitative elastographic features with supersonic shear wave imaging.
Xiao Y; Zeng J; Niu L; Zeng Q; Wu T; Wang C; Zheng R; Zheng H
Ultrasound Med Biol; 2014 Feb; 40(2):275-86. PubMed ID: 24268454
[TBL] [Abstract][Full Text] [Related]
9. Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound.
Acharya UR; S VS; Molinari F; Garberoglio R; Witkowska A; Suri JS
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():452-5. PubMed ID: 23365926
[TBL] [Abstract][Full Text] [Related]
10. Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions.
Milenković J; Hertl K; Košir A; Zibert J; Tasič JF
Artif Intell Med; 2013 Jun; 58(2):101-14. PubMed ID: 23548472
[TBL] [Abstract][Full Text] [Related]
11. Analysis of tumor vascularity using three-dimensional power Doppler ultrasound images.
Huang SF; Chang RF; Moon WK; Lee YH; Chen DR; Suri JS
IEEE Trans Med Imaging; 2008 Mar; 27(3):320-30. PubMed ID: 18334428
[TBL] [Abstract][Full Text] [Related]
12. Non-invasive automated 3D thyroid lesion classification in ultrasound: a class of ThyroScan™ systems.
Acharya UR; Vinitha Sree S; Krishnan MM; Molinari F; Garberoglio R; Suri JS
Ultrasonics; 2012 Apr; 52(4):508-20. PubMed ID: 22154208
[TBL] [Abstract][Full Text] [Related]
13. Benign and malignant ovarian masses: selection of the most discriminating gray-scale and Doppler sonographic features.
Brown DL; Doubilet PM; Miller FH; Frates MC; Laing FC; DiSalvo DN; Benson CB; Lerner MH
Radiology; 1998 Jul; 208(1):103-10. PubMed ID: 9646799
[TBL] [Abstract][Full Text] [Related]
14. Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images.
Juntu J; Sijbers J; De Backer S; Rajan J; Van Dyck D
J Magn Reson Imaging; 2010 Mar; 31(3):680-9. PubMed ID: 20187212
[TBL] [Abstract][Full Text] [Related]
15. Coregistered photoacoustic and ultrasound imaging and classification of ovarian cancer: ex vivo and in vivo studies.
Salehi HS; Li H; Merkulov A; Kumavor PD; Vavadi H; Sanders M; Kueck A; Brewer MA; Zhu Q
J Biomed Opt; 2016 Apr; 21(4):46006. PubMed ID: 27086690
[TBL] [Abstract][Full Text] [Related]
16. Past, present and future ultrasonographic techniques for analyzing ovarian masses.
Guerriero S; Saba L; Alcazar JL; Pascual MA; Ajossa S; Perniciano M; Piras A; Sedda F; Peddes C; Fabbri P; Pilla F; Zajicek M; Giuseppina P; Melis GB
Womens Health (Lond); 2015 Jun; 11(3):369-83. PubMed ID: 26102474
[TBL] [Abstract][Full Text] [Related]
17. Computer-aided diagnosis of soft-tissue tumors using sonographic morphologic and texture features.
Chen CY; Chiou HJ; Chou SY; Chiou SY; Wang HK; Chou YH; Chiang HK
Acad Radiol; 2009 Dec; 16(12):1531-8. PubMed ID: 19896070
[TBL] [Abstract][Full Text] [Related]
18. Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound.
Huang YL; Chen DR; Jiang YR; Kuo SJ; Wu HK; Moon WK
Ultrasound Obstet Gynecol; 2008 Sep; 32(4):565-72. PubMed ID: 18383556
[TBL] [Abstract][Full Text] [Related]
19. Ultrasound breast tumor image computer-aided diagnosis with texture and morphological features.
Wu WJ; Moon WK
Acad Radiol; 2008 Jul; 15(7):873-80. PubMed ID: 18572123
[TBL] [Abstract][Full Text] [Related]
20. Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy.
Sahiner B; Chan HP; Roubidoux MA; Hadjiiski LM; Helvie MA; Paramagul C; Bailey J; Nees AV; Blane C
Radiology; 2007 Mar; 242(3):716-24. PubMed ID: 17244717
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]