519 related articles for article (PubMed ID: 11811822)
1. Detection of breast masses in mammograms by density slicing and texture flow-field analysis.
Mudigonda NR; Rangayyan RM; Desautels JE
IEEE Trans Med Imaging; 2001 Dec; 20(12):1215-27. PubMed ID: 11811822
[TBL] [Abstract][Full Text] [Related]
2. Gradient and texture analysis for the classification of mammographic masses.
Mudigonda NR; Rangayyan RM; Desautels JE
IEEE Trans Med Imaging; 2000 Oct; 19(10):1032-43. PubMed ID: 11131493
[TBL] [Abstract][Full Text] [Related]
3. Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization.
Sahiner B; Petrick N; Chan HP; Hadjiiski LM; Paramagul C; Helvie MA; Gurcan MN
IEEE Trans Med Imaging; 2001 Dec; 20(12):1275-84. PubMed ID: 11811827
[TBL] [Abstract][Full Text] [Related]
4. A completely automated CAD system for mass detection in a large mammographic database.
Bellotti R; De Carlo F; Tangaro S; Gargano G; Maggipinto G; Castellano M; Massafra R; Cascio D; Fauci F; Magro R; Raso G; Lauria A; Forni G; Bagnasco S; Cerello P; Zanon E; Cheran SC; Lopez Torres E; Bottigli U; Masala GL; Oliva P; Retico A; Fantacci ME; Cataldo R; De Mitri I; De Nunzio G
Med Phys; 2006 Aug; 33(8):3066-75. PubMed ID: 16964885
[TBL] [Abstract][Full Text] [Related]
5. Computerized characterization of masses on mammograms: the rubber band straightening transform and texture analysis.
Sahiner B; Chan HP; Petrick N; Helvie MA; Goodsitt MM
Med Phys; 1998 Apr; 25(4):516-26. PubMed ID: 9571620
[TBL] [Abstract][Full Text] [Related]
6. Effect of pixel resolution on texture features of breast masses in mammograms.
Rangayyan RM; Nguyen TM; Ayres FJ; Nandi AK
J Digit Imaging; 2010 Oct; 23(5):547-53. PubMed ID: 19756865
[TBL] [Abstract][Full Text] [Related]
7. A concentric morphology model for the detection of masses in mammography.
Eltonsy NH; Tourassi GD; Elmaghraby AS
IEEE Trans Med Imaging; 2007 Jun; 26(6):880-9. PubMed ID: 17679338
[TBL] [Abstract][Full Text] [Related]
8. A ranklet-based image representation for mass classification in digital mammograms.
Masotti M
Med Phys; 2006 Oct; 33(10):3951-61. PubMed ID: 17089857
[TBL] [Abstract][Full Text] [Related]
9. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces.
Chan HP; Sahiner B; Lam KL; Petrick N; Helvie MA; Goodsitt MM; Adler DD
Med Phys; 1998 Oct; 25(10):2007-19. PubMed ID: 9800710
[TBL] [Abstract][Full Text] [Related]
10. Radiomics based detection and characterization of suspicious lesions on full field digital mammograms.
Sapate SG; Mahajan A; Talbar SN; Sable N; Desai S; Thakur M
Comput Methods Programs Biomed; 2018 Sep; 163():1-20. PubMed ID: 30119844
[TBL] [Abstract][Full Text] [Related]
11. Computerized analysis of multiple-mammographic views: potential usefulness of special view mammograms in computer-aided diagnosis.
Huo Z; Giger ML; Vyborny CJ
IEEE Trans Med Imaging; 2001 Dec; 20(12):1285-92. PubMed ID: 11811828
[TBL] [Abstract][Full Text] [Related]
12. Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.
Zyout I; Czajkowska J; Grzegorzek M
Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():95-107. PubMed ID: 25795630
[TBL] [Abstract][Full Text] [Related]
13. False-positive reduction technique for detection of masses on digital mammograms: global and local multiresolution texture analysis.
Wei D; Chan HP; Petrick N; Sahiner B; Helvie MA; Adler DD; Goodsitt MM
Med Phys; 1997 Jun; 24(6):903-14. PubMed ID: 9198026
[TBL] [Abstract][Full Text] [Related]
14. Development of an automated method for detecting mammographic masses with a partial loss of region.
Hatanaka Y; Hara T; Fujita H; Kasai S; Endo T; Iwase T
IEEE Trans Med Imaging; 2001 Dec; 20(12):1209-14. PubMed ID: 11811821
[TBL] [Abstract][Full Text] [Related]
15. Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms.
Rabidas R; Midya A; Chakraborty J
IEEE J Biomed Health Inform; 2018 May; 22(3):826-834. PubMed ID: 28622679
[TBL] [Abstract][Full Text] [Related]
16. Classification of mammographic masses using generalized dynamic fuzzy neural networks.
Lim WK; Er MJ
Med Phys; 2004 May; 31(5):1288-95. PubMed ID: 15191321
[TBL] [Abstract][Full Text] [Related]
17. Computerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratification.
Wang X; Lederman D; Tan J; Wang XH; Zheng B
Acad Radiol; 2010 Oct; 17(10):1234-41. PubMed ID: 20619697
[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. Using computer-extracted image features for modeling of error-making patterns in detection of mammographic masses among radiology residents.
Zhang J; Lo JY; Kuzmiak CM; Ghate SV; Yoon SC; Mazurowski MA
Med Phys; 2014 Sep; 41(9):091907. PubMed ID: 25186394
[TBL] [Abstract][Full Text] [Related]
20. Computer-aided diagnosis: automatic detection of malignant masses in digitized mammograms.
Méndez AJ; Tahoces PG; Lado MJ; Souto M; Vidal JJ
Med Phys; 1998 Jun; 25(6):957-64. PubMed ID: 9650186
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]