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.
105 related articles for article (PubMed ID: 9419682)
1. Computerized detection of masses from digitized mammograms: comparison of single-image segmentation and bilateral-image subtraction. Zheng B; Chang YH; Gur D Acad Radiol; 1995 Dec; 2(12):1056-61. PubMed ID: 9419682 [TBL] [Abstract][Full Text] [Related]
2. Computerized detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis. Zheng B; Chang YH; Gur D Acad Radiol; 1995 Nov; 2(11):959-66. PubMed ID: 9419667 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Computerized identification of suspicious regions for masses in digitized mammograms. Chang YH; Zheng B; Gur D Invest Radiol; 1996 Mar; 31(3):146-53. PubMed ID: 8675422 [TBL] [Abstract][Full Text] [Related]
5. Mass detection in digitized mammograms using two independent computer-assisted diagnosis schemes. Zheng B; Chang YH; Gur D AJR Am J Roentgenol; 1996 Dec; 167(6):1421-4. PubMed ID: 8956570 [TBL] [Abstract][Full Text] [Related]
6. Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images. Yin FF; Giger ML; Doi K; Metz CE; Vyborny CJ; Schmidt RA Med Phys; 1991; 18(5):955-63. PubMed ID: 1961160 [TBL] [Abstract][Full Text] [Related]
7. Computer-aided detection systems for breast masses: comparison of performances on full-field digital mammograms and digitized screen-film mammograms. Wei J; Hadjiiski LM; Sahiner B; Chan HP; Ge J; Roubidoux MA; Helvie MA; Zhou C; Wu YT; Paramagul C; Zhang Y Acad Radiol; 2007 Jun; 14(6):659-69. PubMed ID: 17502255 [TBL] [Abstract][Full Text] [Related]
8. Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses. Yin FF; Giger ML; Vyborny CJ; Doi K; Schmidt RA Invest Radiol; 1993 Jun; 28(6):473-81. PubMed ID: 8320064 [TBL] [Abstract][Full Text] [Related]
10. Performance and reproducibility of a computerized mass detection scheme for digitized mammography using rotated and resampled images: an assessment. Zheng B; Maitz GS; Ganott MA; Abrams G; Leader JK; Gur D AJR Am J Roentgenol; 2005 Jul; 185(1):194-8. PubMed ID: 15972422 [TBL] [Abstract][Full Text] [Related]
11. Robustness of computerized identification of masses in digitized mammograms. A preliminary assessment. Chang YH; Zheng B; Gur D Invest Radiol; 1996 Sep; 31(9):563-8. PubMed ID: 8877493 [TBL] [Abstract][Full Text] [Related]
12. Matching breast masses depicted on different views a comparison of three methods. Zheng B; Tan J; Ganott MA; Chough DM; Gur D Acad Radiol; 2009 Nov; 16(11):1338-47. PubMed ID: 19632867 [TBL] [Abstract][Full Text] [Related]
13. Hybrid segmentation of mass in mammograms using template matching and dynamic programming. Song E; Xu S; Xu X; Zeng J; Lan Y; Zhang S; Hung CC Acad Radiol; 2010 Nov; 17(11):1414-24. PubMed ID: 20817575 [TBL] [Abstract][Full Text] [Related]
14. Computer-aided detection of clustered microcalcifications in digitized mammograms. Zheng B; Chang YH; Staiger M; Good W; Gur D Acad Radiol; 1995 Aug; 2(8):655-62. PubMed ID: 9419620 [TBL] [Abstract][Full Text] [Related]
15. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks. Bandeira Diniz JO; Bandeira Diniz PH; Azevedo Valente TL; CorrĂȘa Silva A; de Paiva AC; Gattass M Comput Methods Programs Biomed; 2018 Mar; 156():191-207. PubMed ID: 29428071 [TBL] [Abstract][Full Text] [Related]
16. Computer-aided detection schemes: the effect of limiting the number of cued regions in each case. Zheng B; Leader JK; Abrams G; Shindel B; Catullo V; Good WF; Gur D AJR Am J Roentgenol; 2004 Mar; 182(3):579-83. PubMed ID: 14975949 [TBL] [Abstract][Full Text] [Related]
17. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography. Samala RK; Chan HP; Hadjiiski L; Helvie MA; Wei J; Cha K Med Phys; 2016 Dec; 43(12):6654. PubMed ID: 27908154 [TBL] [Abstract][Full Text] [Related]
18. Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system. Catarious DM; Baydush AH; Floyd CE Med Phys; 2004 Jun; 31(6):1512-20. PubMed ID: 15259655 [TBL] [Abstract][Full Text] [Related]
19. Computer-aided detection in full-field digital mammography: sensitivity and reproducibility in serial examinations. Kim SJ; Moon WK; Cho N; Cha JH; Kim SM; Im JG Radiology; 2008 Jan; 246(1):71-80. PubMed ID: 18096530 [TBL] [Abstract][Full Text] [Related]
20. A novel computer aided breast mass detection scheme based on morphological enhancement and SLIC superpixel segmentation. Chu J; Min H; Liu L; Lu W Med Phys; 2015 Jul; 42(7):3859-69. PubMed ID: 26133587 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]