145 related articles for article (PubMed ID: 24936503)
1. Computer-aided detection system for masses in automated whole breast ultrasonography: development and evaluation of the effectiveness.
Kim JH; Cha JH; Kim N; Chang Y; Ko MS; Choi YW; Kim HH
Ultrasonography; 2014 Apr; 33(2):105-15. PubMed ID: 24936503
[TBL] [Abstract][Full Text] [Related]
2. A 2-Phase Merge Filter Approach to Computer-Aided Detection of Breast Tumors on 3-Dimensional Ultrasound Imaging.
Chiu LY; Kuo WH; Chen CN; Chang KJ; Chen A
J Ultrasound Med; 2020 Dec; 39(12):2439-2455. PubMed ID: 32567133
[TBL] [Abstract][Full Text] [Related]
3. Computer-aided tumor detection based on multi-scale blob detection algorithm in automated breast ultrasound images.
Moon WK; Shen YW; Bae MS; Huang CS; Chen JH; Chang RF
IEEE Trans Med Imaging; 2013 Jul; 32(7):1191-200. PubMed ID: 23232413
[TBL] [Abstract][Full Text] [Related]
4. Computer-aided diagnosis for the classification of breast masses in automated whole breast ultrasound images.
Moon WK; Shen YW; Huang CS; Chiang LR; Chang RF
Ultrasound Med Biol; 2011 Apr; 37(4):539-48. PubMed ID: 21420580
[TBL] [Abstract][Full Text] [Related]
5. Characterization of masses in digital breast tomosynthesis: comparison of machine learning in projection views and reconstructed slices.
Chan HP; Wu YT; Sahiner B; Wei J; Helvie MA; Zhang Y; Moore RH; Kopans DB; Hadjiiski L; Way T
Med Phys; 2010 Jul; 37(7):3576-86. PubMed ID: 20831065
[TBL] [Abstract][Full Text] [Related]
6. Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts.
van Zelst JCM; Tan T; Clauser P; Domingo A; Dorrius MD; Drieling D; Golatta M; Gras F; de Jong M; Pijnappel R; Rutten MJCM; Karssemeijer N; Mann RM
Eur Radiol; 2018 Jul; 28(7):2996-3006. PubMed ID: 29417251
[TBL] [Abstract][Full Text] [Related]
7. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms.
Zheng B; Gur D; Good WF; Hardesty LA
Med Phys; 2004 Nov; 31(11):2964-72. PubMed ID: 15587648
[TBL] [Abstract][Full Text] [Related]
8. Development of a fully automatic scheme for detection of masses in whole breast ultrasound images.
Ikedo Y; Fukuoka D; Hara T; Fujita H; Takada E; Endo T; Morita T
Med Phys; 2007 Nov; 34(11):4378-88. PubMed ID: 18072503
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Computer-aided lesion diagnosis in automated 3-D breast ultrasound using coronal spiculation.
Tan T; Platel B; Huisman H; Sánchez CI; Mus R; Karssemeijer N
IEEE Trans Med Imaging; 2012 May; 31(5):1034-42. PubMed ID: 22271831
[TBL] [Abstract][Full Text] [Related]
11. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
[TBL] [Abstract][Full Text] [Related]
12. Radiologists' performance in the detection of benign and malignant masses with 3D automated breast ultrasound (ABUS).
Chang JM; Moon WK; Cho N; Park JS; Kim SJ
Eur J Radiol; 2011 Apr; 78(1):99-103. PubMed ID: 21330080
[TBL] [Abstract][Full Text] [Related]
13. Detection of urinary bladder mass in CT urography with SPAN.
Cha K; Hadjiiski L; Chan HP; Cohan RH; Caoili EM; Zhou C
Med Phys; 2015 Jul; 42(7):4271-84. PubMed ID: 26133625
[TBL] [Abstract][Full Text] [Related]
14. Computer-aided detection of cancer in automated 3-D breast ultrasound.
Tan T; Platel B; Mus R; Tabar L; Mann RM; Karssemeijer N
IEEE Trans Med Imaging; 2013 Sep; 32(9):1698-706. PubMed ID: 23693128
[TBL] [Abstract][Full Text] [Related]
15. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
Lee HS; Hong H; Jung DC; Park S; Kim J
Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
[TBL] [Abstract][Full Text] [Related]
16. Comparison of automated breast ultrasonography to handheld ultrasonography in detecting and diagnosing breast lesions.
Jeh SK; Kim SH; Choi JJ; Jung SS; Choe BJ; Park S; Park MS
Acta Radiol; 2016 Feb; 57(2):162-9. PubMed ID: 25766727
[TBL] [Abstract][Full Text] [Related]
17. Breast Density Analysis with Automated Whole-Breast Ultrasound: Comparison with 3-D Magnetic Resonance Imaging.
Chen JH; Lee YW; Chan SW; Yeh DC; Chang RF
Ultrasound Med Biol; 2016 May; 42(5):1211-20. PubMed ID: 26831342
[TBL] [Abstract][Full Text] [Related]
18. Improving performance of computer-aided detection scheme by combining results from two machine learning classifiers.
Park SC; Pu J; Zheng B
Acad Radiol; 2009 Mar; 16(3):266-74. PubMed ID: 19201355
[TBL] [Abstract][Full Text] [Related]
19. Improving the Accuracy of Computer-aided Diagnosis for Breast MR Imaging by Differentiating between Mass and Nonmass Lesions.
Gallego-Ortiz C; Martel AL
Radiology; 2016 Mar; 278(3):679-88. PubMed ID: 26383229
[TBL] [Abstract][Full Text] [Related]
20. Computer-aided classification of mammographic masses using visually sensitive image features.
Wang Y; Aghaei F; Zarafshani A; Qiu Y; Qian W; Zheng B
J Xray Sci Technol; 2017; 25(1):171-186. PubMed ID: 27911353
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
