21.7.2.6 Mammograms, Image Enhancement, Noise Suppression

Chapter Contents (Back)
Mammograms. Medical, Applications.

de Ban, A.F.[Abdou F.], Tumey, D.M.[David M.], Reeves, J.W.[Jonathon W.], McQuain, D.B.[David B.], Reeves, W.H.[William H.], Reeves, C.C.[Carole C.], Aboujaoude, E.D.[Elias D.],
Device for detecting cancerous and precancerous conditions in a breast,
US_Patent5,301,681, Apr 12, 1994
WWW Link. BibRef 9404

Petrick, N., Chan, H.P.[Heang-Ping], Sahiner, B., Wei, D.T.[Da-Tong],
An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection,
MedImg(15), No. 1, February 1996, pp. 59-67.
IEEE Top Reference. 0203
BibRef

Jalink, A., McAdoo, J., Halama, G., Liu, H.[Hong],
CCD mosaic technique for large-field digital mammography,
MedImg(15), No. 3, June 1996, pp. 260-267.
IEEE Top Reference. 0203
BibRef

Li, H., Liu, K.J.R., Lo, S.C.B.,
Fractal Modeling and Segmentation for the Enhancement of Microcalcifications in Digital Mammograms,
MedImg(16), No. 6, December 1997, pp. 785-798.
IEEE Top Reference. 9803
BibRef

Perlmutter, S.M., Cosman, P.C., Gray, R.M., Olshen, R.A., Ikeda, D., Adams, C.N., Betts, B.J., Williams, M.B., Perlmutter, K.O., Li, J., Aiyer, A., Fajardo, L., Birdwell, R.,
Image Quality in Lossy Compressed Digital Mammograms,
SP(59), No. 2, June 1997, pp. 189-210. 9708
BibRef

Gray, R.M., Olshen, R.A., Ikeda, D., Cosman, P.C., Perlmutter, S.M., Nash, C., Perlmutter, K.O.,
Evaluating quality and utility in digital mammography,
ICIP95(II: 5-8).
IEEE DOI 9510
BibRef

Perlmutter, S.M., Tseng, C.W.[Chien-Wen], Cosman, P.C., Li, K.C.P., Olshen, R.A., Gray, R.M.,
Measurement accuracy as a measure of image quality in compressed MR chest scans,
ICIP94(I: 861-865).
IEEE DOI 9411
BibRef

Kim, J.K.[Jong Kook], Park, J.M.[Jeong Mi], Song, K.S.[Koun Sik], Park, H.W.[Hyun Wook],
Adaptive Mammographic Image Enhancement Using First Derivative and Local Statistics,
MedImg(16), No. 5, October 1997, pp. 495-502.
IEEE Top Reference. 0205

See also Detection of Clustered Microcalcifications on Mammograms Using Surrounding Region Dependence Method and Artificial Neural Network. BibRef

Boccignone, G.[Giuseppe], Chianese, A.[Angelo], Picariello, A.[Antonio],
Using Renyi's Information and Wavelets for Target Detection: An Application to Mammograms,
PAA(3), No. 4, 2000, pp. 303-313.
Springer DOI 0103
BibRef
Earlier:
Small Target Detection Using Wavelets,
ICPR98(Vol II: 1776-1778).
IEEE DOI 9808
BibRef

Boccignone, G.[Giuseppe], Picariello, A.[Antonio],
Anisotropic Enhancement of Mammographic Images,
ICPR96(II: 408-412).
IEEE DOI 9608
BibRef
And:
Enhancement of Mammograms: Experimental Results,
ICIP96(I: 347-350).
IEEE DOI (Univ. di Salerno, I) BibRef

Boccignone, G.,
A Multiscale Contrast Enhancement Method,
ICIP97(I: 306-309).
IEEE DOI BibRef 9700

Veldkamp, W.J.H., Karssemeijer, N.,
Normalization of local contrast in mammograms,
MedImg(19), No. 7, July 2000, pp. 731-738.
IEEE Top Reference. 0110
BibRef

Zhou, X.Q., Huang, H.K., Lou, S.L.,
Authenticity and integrity of digital mammography images,
MedImg(20), No. 8, August 2001, pp. 784-791.
IEEE Top Reference. 0110
BibRef

Torheim, G., Godtliebsen, F., Axelson, D., Kvistad, K.A., Haraldseth, O., Rinck, P.A.,
Feature extraction and classification of dynamic contrast-enhanced T2*-weighted breast image data,
MedImg(20), No. 12, December 2001, pp. 1293-1301.
IEEE Top Reference. 0201
BibRef

Glickman, Y.A., Filo, O., Nachaliel, U., Lenington, S., Amin-Spector, S., Ginor, R.,
Novel EIS postprocessing algorithm for breast cancer diagnosis,
MedImg(21), No. 6, June 2002, pp. 710-712.
IEEE Top Reference. 0208
BibRef

Heinlein, P., Drexl, J., Schneider, W.,
Integrated wavelets for enhancement of microcalcifications in digital mammography,
MedImg(22), No. 3, March 2003, pp. 402-413.
IEEE Abstract. 0306
BibRef

McLoughlin, K.J., Bones, P.J., Karssemeijer, N.,
Noise Equalization for Detection of Microcalcification Clusters in Direct Digital Mammogram Images,
MedImg(23), No. 3, March 2004, pp. 313-320.
IEEE Abstract. 0403
BibRef

Zhi, W., Chin, F.,
Entropy-Based Time Window for Artifact Removal in UWB Imaging of Breast Cancer Detection,
SPLetters(13), No. 10, October 2006, pp. 585-588.
IEEE DOI 0609
BibRef

Adel, M.[Mouloud], Zuwala, D.[Daniel], Rasigni, M.[Monique], Bourennane, S.[Salah],
Noise reduction on mammographic phantom images,
ELCVIA(5), No. 4, December 2006, pp. 64-74.
DOI Link 0703
BibRef

Adel, M.[Mouloud], Zuwala, D.[Daniel], Rasigni, M.[Monique], Bourennane, S.[Salah],
Filtering noise on mammographic phantom images using local contrast modification functions,
IVC(26), No. 9, 1 September 2008, pp. 1219-1229.
Elsevier DOI 0806
Contrast modification; Noise reduction; Mammography; Breast phantom; Quality control BibRef

Fang, Q., Carp, S.A., Selb, J., Boverman, G., Zhang, Q., Kopans, D.B., Moore, R.H., Miller, E.L., Brooks, D.H., Boas, D.A.,
Combined Optical Imaging and Mammography of the Healthy Breast: Optical Contrast Derived From Breast Structure and Compression,
MedImg(28), No. 1, January 2009, pp. 30-42.
IEEE DOI 0901
BibRef

Cheng, H.D., Shi, X.J., Min, R., Hu, L.M., Cai, X.P., Du, H.N.,
Approaches for automated detection and classification of masses in mammograms,
PR(39), No. 4, April 2006, pp. 646-668.
Elsevier DOI Mass; CAD; Wavelet; Fuzzy logic; Contrast enhancement; Feature selection 0604
BibRef

Wong, A., Scharcanski, J.[Jacob],
Phase-Adaptive Superresolution of Mammographic Images Using Complex Wavelets,
IP(18), No. 5, May 2009, pp. 1140-1146.
IEEE DOI 0904

See also Phase-Adaptive Image Signal Fusion Using Complex-Valued Wavelets. BibRef

Scharcanski, J.[Jacob],
Lossless and Near-Lossless Compression for Mammographic Digital Images,
ICIP06(2253-2256).
IEEE DOI 0610
BibRef

Silva da Silva, L., Scharcanski, J.[Jacob],
A Lossless Compression Approach for Mammographic Digital Images Based on the Delaunay Triangulation,
ICIP05(II: 758-761).
IEEE DOI 0512
BibRef

Richard, F.[Frédéric], Bierme, H.[Hermine],
Statistical Tests of Anisotropy for Fractional Brownian Textures. Application to Full-field Digital Mammography,
JMIV(36), No. 3, March 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Mohideen, A.K.[Abubacker Kaja], Thangavel, K.[Kuttiannan],
Region-Based Contrast Enhancement of Digital Mammograms Using an Improved Watershed Segmentation,
IJIG(13), No. 1, January 2013, pp. 1350007.
DOI Link 1305
BibRef

Bhale, A.N.[Aparna Narendra], Joshi, M.R.[Manish Ratnakar],
Enhancement of Screen Film Mammogram up to a Level of Digital Mammogram: Experimental Analysis,
IJIG(13), No. 2, April 2013, pp. 1340004.
DOI Link 1308
BibRef

Mohideen, A.K.[Abubacker Kaja], Thangavel, K.[Kuttiannan],
Contrast enhancement of digital mammograms using a novel walking ant histogram equalisation,
IJCVR(5), No. 2, 2015, pp. 181-201.
DOI Link 1505
BibRef

Kashyap, K.L.[Kanchan Lata], Bajpai, M.K.[Manish Kumar], Khanna, P.[Pritee], Giakos, G.[George],
Mesh-free approach for enhancement of mammograms,
IET-IPR(12), No. 3, March 2018, pp. 299-306.
DOI Link 1802
BibRef

Akhtar, Y.[Yusuf], Mukherjee, D.P.[Dipti Prasad],
Context-based ensemble classification for the detection of architectural distortion in a digitised mammogram,
IET-IPR(14), No. 4, 27 March 2020, pp. 603-614.
DOI Link 2003
BibRef

Kavuri, A., Das, M.,
Relative Contributions of Anatomical and Quantum Noise in Signal Detection and Perception of Tomographic Digital Breast Images,
MedImg(39), No. 11, November 2020, pp. 3321-3330.
IEEE DOI 2011
Breast, Lesions, Observers, Image reconstruction, Biomedical imaging, Detectors, Noise measurement, LROC, power spectrum, DBT, Tomosynthesis, anatomical noise BibRef

Chaira, T.[Tamalika],
Intuitionistic fuzzy approach for enhancement of low contrast mammogram images,
IJIST(30), No. 4, 2020, pp. 1162-1172.
DOI Link 2011
enhancement, fuzzy t-conorm, histogram hyperbolization, mammogram, interval type 2 fuzzy set, intuitionistic fuzzy set BibRef

Mota, A.M., Clarkson, M.J., Almeida, P., Matela, N.,
An Enhanced Visualization of DBT Imaging Using Blind Deconvolution and Total Variation Minimization Regularization,
MedImg(39), No. 12, December 2020, pp. 4094-4101.
IEEE DOI 2012
Digital Breast Tomosynthesis. Deconvolution, Data visualization, Phantoms, Rendering (computer graphics), TV, total variation minimization BibRef


Bria, A.[Alessandro], Marrocco, C.[Claudio], Galdran, A.[Adrian], Campilho, A.[Aurélio], Marchesi, A.[Agnese], Mordang, J.J.[Jan-Jurre], Karssemeijer, N.[Nico], Molinara, M.[Mario], Tortorella, F.[Francesco],
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets,
CIAP17(II:288-298).
Springer DOI 1711
BibRef

Tay, P.C.[Peter C.], Shen, H.[Hongda], Adams, R.D.[Robert D.], Zhang, J.Z.[James Z.],
A microcalcification enhancement method for mammogram images,
ICIP13(1232-1236)
IEEE DOI 1402
Breast cancer BibRef

Yu, Y.J.[Yong-Jian], Wang, J.[Jue],
Beam hardening-respecting flat field correction of digital X-ray detectors,
ICIP12(2085-2088).
IEEE DOI 1302
BibRef

Tay, P.C.[Peter C.], Shen, H.[Hongda],
A novel background subtraction method to detect microcalcifications,
Southwest12(141-144).
IEEE DOI 1205
BibRef

Zhou, Y.C.[Yi-Cong], Panetta, K.A.[Karen A.], Agaian, S.S.[Sos S.],
Human Visual System Based Mammogram Enhancement and Analysis,
IPTA10(229-234).
IEEE DOI 1007

See also Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure.
See also Transform-based image enhancement algorithms with performance measure. BibRef

Rahmati, P.[Peyman], Hamarneh, G.[Ghassan], Nussbaum, D.[Doron], Adler, A.[Andy],
A New Preprocessing Filter for Digital Mammograms,
ICISP10(585-592).
Springer DOI 1006
BibRef

Wong, A.[Alexander], Mishra, A.K.[Akshaya K.], Clausi, D.A.[David A.], Fieguth, P.W.[Paul W.],
Mammogram Image Superresolution Based on Statistical Moment Analysis,
CRV10(339-346).
IEEE DOI 1005
BibRef

Prieto, G.[Gabriel], Chevalier, M.[Margarita], Guibelalde, E.[Eduardo],
Automatic scoring of CDMAM using a model of the recognition threshold of the human visual system: R*,
ICIP09(2489-2492).
IEEE DOI 0911
Tool for evaluation of phantom images used in image quality assessment in mammography. BibRef

Liu, X.M.[Xiao-Ming], Tang, J., Zhang, X.L.[Xiao-Long],
A multiscale image enhancement method for calcification detection in screening mammograms,
ICIP09(677-680).
IEEE DOI 0911
BibRef

Völk, K.[Katharina], Miller, J.F.[Julian F.], Smith, S.L.[Stephen L.],
Multiple Network CGP for the Classification of Mammograms,
EvoIASP09(405-413).
Springer DOI 0904
BibRef

Ravi Kumar, M.S., Koliwad, S.[Shivaprakash], Dwarakish, G.S.,
Lossless Compression of Digital Mammography Using Fixed Block Segmentation and Pixel Grouping,
ICCVGIP08(201-206).
IEEE DOI 0812
BibRef

Plett, J.[Johannes], Guarini, M.[Marcelo], Irarrazaval, P.[Pablo],
Enhancement of Visual Perception Through Dynamic Cues: An Application to Mammograms,
ICIP07(II: 441-444).
IEEE DOI 0709
BibRef

Baum, K.G., Helguera, M., Hornak, J.P., Kerekes, J.P., Montag, E.D., Unlu, M.Z., Feiglin, D.H., Krol, A.,
Techniques for Fusion of Multimodal Images: Application to Breast Imaging,
ICIP06(2521-2524).
IEEE DOI 0610
BibRef

Mencattini, A., Caselli, F., Salmeri, M., Lojacono, R.,
Wavelet Based Adaptive Algorithm for Mammographic Images Enhancement and Denoising,
ICIP05(I: 1141-1144).
IEEE DOI 0512
BibRef

Oliver, A.[Arnau], Freixenet, J.[Jordi], Zwiggelaar, R.[Reyer],
Automatic Classification of Breast Density,
ICIP05(II: 1258-1261).
IEEE DOI 0512
BibRef

Martí, R.[Robert], Oliver, A.[Arnau], Raba, D.[David], Freixenet, J.[Jordi],
Breast Skin-Line Segmentation Using Contour Growing,
IbPRIA07(II: 564-571).
Springer DOI 0706
BibRef

Raba, D.[David], Oliver, A.[Arnau], Martí, J.[Joan], Peracaula, M.[Marta], Espunya, J.[Joan],
Breast Segmentation with Pectoral Muscle Suppression on Digital Mammograms,
IbPRIA05(II:471).
Springer DOI 0509
BibRef

Oliver, A.[Arnau], Freixenet, J.[Jordi], Bosch, A.[Anna], Raba, D.[David], Zwiggelaar, R.[Reyer],
Automatic Classification of Breast Tissue,
IbPRIA05(II:431).
Springer DOI 0509
BibRef

Llobet, R.[Rafael], Paredes, R.[Roberto], Pérez-Cortés, J.C.[Juan C.],
Comparison of Feature Extraction Methods for Breast Cancer Detection,
IbPRIA05(II:495).
Springer DOI 0509
BibRef

Nunes, F., Schiabel, H., Benatti, R., Stamato, R., Escarpinati, M., Gües, C.,
A Method to Contrast Enhancement of Digital Dense Breast Images Aimed to Detect Clustered Microcalcifications,
ICIP01(I: 305-308).
IEEE DOI 0108
BibRef

Koren, I., Laine, A.F., Taylor, F.J.,
Enhancement via fusion of mammographic features,
ICIP98(I: 722-726).
IEEE DOI 9810
BibRef

Laine, A., and Chang, C.M.,
Enhancement of Mammograms from Oriented Information,
ICIP97(III: 524-527).
IEEE DOI BibRef 9700

Wong, H.S., Guan, L., Hong, H.,
Compression of digital mammogram databases using a near-lossless scheme,
ICIP95(II: 21-24).
IEEE DOI 9510
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Mammograms, Breast Cancer, Ultrasound .


Last update:Mar 16, 2024 at 20:36:19