These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
6. A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses. Daoud MI; Bdair TM; Al-Najar M; Alazrai R Comput Math Methods Med; 2016; 2016():6740956. PubMed ID: 28127383 [TBL] [Abstract][Full Text] [Related]
7. Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind. Shrivastava VK; Londhe ND; Sonawane RS; Suri JS Comput Methods Programs Biomed; 2016 Apr; 126():98-109. PubMed ID: 26830378 [TBL] [Abstract][Full Text] [Related]
8. Computer-aided diagnosis for distinguishing between triple-negative breast cancer and fibroadenomas based on ultrasound texture features. Moon WK; Huang YS; Lo CM; Huang CS; Bae MS; Kim WH; Chen JH; Chang RF Med Phys; 2015 Jun; 42(6):3024-35. PubMed ID: 26127055 [TBL] [Abstract][Full Text] [Related]
9. A CAD system for B-mode fatty liver ultrasound images using texture features. Subramanya MB; Kumar V; Mukherjee S; Saini M J Med Eng Technol; 2015 Feb; 39(2):123-30. PubMed ID: 25522808 [TBL] [Abstract][Full Text] [Related]
10. Computer-aided mass detection in mammography: false positive reduction via gray-scale invariant ranklet texture features. Masotti M; Lanconelli N; Campanini R Med Phys; 2009 Feb; 36(2):311-6. PubMed ID: 19291970 [TBL] [Abstract][Full Text] [Related]
11. Computer-aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images: A comparison with radiologist-based assessments. Chang Y; Paul AK; Kim N; Baek JH; Choi YJ; Ha EJ; Lee KD; Lee HS; Shin D; Kim N Med Phys; 2016 Jan; 43(1):554. PubMed ID: 26745948 [TBL] [Abstract][Full Text] [Related]
12. Decision support system for breast cancer detection using mammograms. Ganesan K; Acharya RU; Chua CK; Min LC; Mathew B; Thomas AK Proc Inst Mech Eng H; 2013 Jul; 227(7):721-32. PubMed ID: 23636749 [TBL] [Abstract][Full Text] [Related]
13. Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging? Zhang X; Gao X; Liu BJ; Ma K; Yan W; Liling L; Yuhong H; Fujita H Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():227-36. PubMed ID: 26455963 [TBL] [Abstract][Full Text] [Related]
14. Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions. Raghavendra U; Rajendra Acharya U; Gudigar A; Hong Tan J; Fujita H; Hagiwara Y; Molinari F; Kongmebhol P; Hoong Ng K Ultrasonics; 2017 May; 77():110-120. PubMed ID: 28219805 [TBL] [Abstract][Full Text] [Related]
15. Evaluation of the severity of mitral regurgitation by the use of signal void in magnetic resonance imaging. Ozdogan O; Yuksel A; Gurgun C; Kayikcioglu M; Yavuzgil O; Cinar CS Echocardiography; 2009 Nov; 26(10):1127-35. PubMed ID: 19725851 [TBL] [Abstract][Full Text] [Related]
17. Robust phase-based texture descriptor for classification of breast ultrasound images. Cai L; Wang X; Wang Y; Guo Y; Yu J; Wang Y Biomed Eng Online; 2015 Mar; 14():26. PubMed ID: 25889570 [TBL] [Abstract][Full Text] [Related]
18. Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT. Korfiatis P; Kalogeropoulou C; Karahaliou A; Kazantzi A; Skiadopoulos S; Costaridou L Med Phys; 2008 Dec; 35(12):5290-302. PubMed ID: 19175088 [TBL] [Abstract][Full Text] [Related]
19. Quantification of mitral regurgitation by general imaging three-dimensional quantification: feasibility and accuracy. Wang W; Lin Q; Wu W; Jiang Y; Lan T; Wang H J Am Soc Echocardiogr; 2014 Mar; 27(3):268-76. PubMed ID: 24438748 [TBL] [Abstract][Full Text] [Related]
20. Ultrasound texture-based CAD system for detecting neuromuscular diseases. König T; Steffen J; Rak M; Neumann G; von Rohden L; Tönnies KD Int J Comput Assist Radiol Surg; 2015 Sep; 10(9):1493-503. PubMed ID: 25451320 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]