140 related articles for article (PubMed ID: 29364138)
1. Locally adaptive decision in detection of clustered microcalcifications in mammograms.
Sainz de Cea MV; Nishikawa RM; Yang Y
Phys Med Biol; 2018 Feb; 63(4):045014. PubMed ID: 29364138
[TBL] [Abstract][Full Text] [Related]
2. Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography.
Wang J; Nishikawa RM; Yang Y
Med Phys; 2017 Jul; 44(7):3726-3738. PubMed ID: 28477395
[TBL] [Abstract][Full Text] [Related]
3. Improving the accuracy in detection of clustered microcalcifications with a context-sensitive classification model.
Wang J; Nishikawa RM; Yang Y
Med Phys; 2016 Jan; 43(1):159. PubMed ID: 26745908
[TBL] [Abstract][Full Text] [Related]
4. Computer aided detection of clusters of microcalcifications on full field digital mammograms.
Ge J; Sahiner B; Hadjiiski LM; Chan HP; Wei J; Helvie MA; Zhou C
Med Phys; 2006 Aug; 33(8):2975-88. PubMed ID: 16964876
[TBL] [Abstract][Full Text] [Related]
5. Multichannel response analysis on 2D projection views for detection of clustered microcalcifications in digital breast tomosynthesis.
Wei J; Chan HP; Hadjiiski LM; Helvie MA; Lu Y; Zhou C; Samala R
Med Phys; 2014 Apr; 41(4):041913. PubMed ID: 24694144
[TBL] [Abstract][Full Text] [Related]
6. Relevance vector machine for automatic detection of clustered microcalcifications.
Wei L; Yang Y; Nishikawa RM; Wernick MN; Edwards A
IEEE Trans Med Imaging; 2005 Oct; 24(10):1278-85. PubMed ID: 16229415
[TBL] [Abstract][Full Text] [Related]
7. Estimating the Accuracy Level Among Individual Detections in Clustered Microcalcifications.
Sainz de Cea MV; Nishikawa RM; Yang Y
IEEE Trans Med Imaging; 2017 May; 36(5):1162-1171. PubMed ID: 28103550
[TBL] [Abstract][Full Text] [Related]
8. Multi-domain features for reducing false positives in automated detection of clustered microcalcifications in digital breast tomosynthesis.
Zhang F; Wu S; Zhang C; Chen Q; Yang X; Jiang K; Zheng J
Med Phys; 2019 Mar; 46(3):1300-1308. PubMed ID: 30661242
[TBL] [Abstract][Full Text] [Related]
9. Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis.
Samala RK; Chan HP; Hadjiiski LM; Helvie MA
Phys Med Biol; 2016 Oct; 61(19):7092-7112. PubMed ID: 27648708
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided detection of clustered microcalcifications in multiscale bilateral filtering regularized reconstructed digital breast tomosynthesis volume.
Samala RK; Chan HP; Lu Y; Hadjiiski L; Wei J; Sahiner B; Helvie MA
Med Phys; 2014 Feb; 41(2):021901. PubMed ID: 24506622
[TBL] [Abstract][Full Text] [Related]
11. Quantification of Al-equivalent thickness of just visible microcalcifications in full field digital mammograms.
Carton AK; Bosmans H; Vandenbroucke D; Souverijns G; Van Ongeval C; Dragusin O; Marchal G
Med Phys; 2004 Jul; 31(7):2165-76. PubMed ID: 15305471
[TBL] [Abstract][Full Text] [Related]
12. Scale-space signatures for the detection of clustered microcalculations in digital mammograms.
Netsch T; Peitgen HO
IEEE Trans Med Imaging; 1999 Sep; 18(9):774-86. PubMed ID: 10571382
[TBL] [Abstract][Full Text] [Related]
13. A support vector machine approach for detection of microcalcifications.
El-Naqa I; Yang Y; Wernick MN; Galatsanos NP; Nishikawa RM
IEEE Trans Med Imaging; 2002 Dec; 21(12):1552-63. PubMed ID: 12588039
[TBL] [Abstract][Full Text] [Related]
14. Automated feature set selection and its application to MCC identification in digital mammograms for breast cancer detection.
Huang YJ; Chan DY; Cheng DC; Ho YJ; Tsai PP; Shen WC; Chen RF
Sensors (Basel); 2013 Apr; 13(4):4855-75. PubMed ID: 23580053
[TBL] [Abstract][Full Text] [Related]
15. Detection of microcalcifications in digital mammograms using wavelet filter and Markov random field model.
Yu SN; Li KY; Huang YK
Comput Med Imaging Graph; 2006 Apr; 30(3):163-73. PubMed ID: 16723208
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of an automated wavelet-based system dedicated to the detection of clustered microcalcifications in digital mammograms.
Lado M; Tahoces PG; Méndez AJ; Souto M; Vidal JJ
Med Inform Internet Med; 2001; 26(3):149-63. PubMed ID: 11706926
[TBL] [Abstract][Full Text] [Related]
17. Automatic detection of clustered microcalcifications in digital mammograms: Study on applying adaboost with SVM-based component classifiers.
Dehghan F; Abrishami-Moghaddam H; Giti M
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4789-92. PubMed ID: 19163787
[TBL] [Abstract][Full Text] [Related]
18. Global detection approach for clustered microcalcifications in mammograms using a deep learning network.
Wang J; Nishikawa RM; Yang Y
J Med Imaging (Bellingham); 2017 Apr; 4(2):024501. PubMed ID: 28466029
[TBL] [Abstract][Full Text] [Related]
19. Multiplexed wavelet transform technique for detection of microcalcification in digitized mammograms.
Mini MG; Devassia VP; Thomas T
J Digit Imaging; 2004 Dec; 17(4):285-91. PubMed ID: 15692872
[TBL] [Abstract][Full Text] [Related]
20. An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms.
Zhang W; Doi K; Giger ML; Nishikawa RM; Schmidt RA
Med Phys; 1996 Apr; 23(4):595-601. PubMed ID: 8860907
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
