20.7.1.7 Mammograms, Density Issues

Chapter Contents (Back)
Mammograms. Density. Breast Density. Medical, Applications.

Saha, P.K., Udupa, J.K., Conant, E.F., Chakraborty, D.P., Sullivan, D.,
Breast tissue density quantification via digitized mammograms,
MedImg(20), No. 8, August 2001, pp. 792-803.
IEEE Top Reference. 0110
BibRef

Baeg, S.[Soon], Kehtarnavaz, N.[Nasser],
Classification of breast mass abnormalities using denseness and architectural distortion,
ELCVIA(1), No. 1, August 2002, pp. 1-20.
WWW Link. 0208
BibRef

Subashini, T.S., Ramalingam, V., Palanivel, S.,
Automated assessment of breast tissue density in digital mammograms,
CVIU(114), No. 1, January 2010, pp. 33-43.
Elsevier DOI 1001
Mammograms; Breast tissue density; Segmentation; Pectoral muscles; Artifact removal; Statistical features; Support vector machines BibRef

Strange, H.[Harry], Chen, Z.L.[Zhi-Li], Denton, E.R.E.[Erika R.E.], Zwiggelaar, R.[Reyer],
Modelling mammographic microcalcification clusters using persistent mereotopology,
PRL(47), No. 1, 2014, pp. 157-163.
Elsevier DOI 1408
Discrete mereotopology BibRef

Ashiru, O., Zwiggelaar, R.,
Classification of mammographic microcalcification clusters using a combination of topological and location modelling,
IPTA16(1-6)
IEEE DOI 1703
feature extraction BibRef

Strange, H.[Harry], Denton, E.R.E.[Erika R.E.], Kibiro, M.[Minnie], Zwiggelaar, R.[Reyer],
Manifold Learning for Density Segmentation in High Risk Mammograms,
IbPRIA13(245-252).
Springer DOI 1307
BibRef

Chen, Z.L.[Zhi-Li], Oliver, A.[Arnau], Denton, E.R.E.[Erika R.E.], Zwiggelaar, R.[Reyer],
Automated Mammographic Risk Classification Based on Breast Density Estimation,
IbPRIA13(237-244).
Springer DOI 1307
BibRef

Chen, Z.L.[Zhi-Li], Denton, E.R.E.[Erika R.E.], Zwiggelaar, R.[Reyer],
Local Feature Based Breast Tissue Appearance Modelling for Mammographic Risk Assessment,
BMVA(2013), No. 1, 2013, pp. 1-19.
PDF File. 1304
BibRef
Earlier:
Topographic representation based breast density segmentation for mammographic risk assessment,
ICIP12(1993-1996).
IEEE DOI 1302
BibRef

Masmoudi, A.D.[Alima Damak], Ayed, N.G.B.[Norhen Gargouri Ben], Masmoudi, D.S.[Dorra Sellami], Abid, R.[Riad],
LBPV descriptors-based automatic ACR/BIRADS classification approach,
JIVP(2013), No. 1, 2013, pp. 19.
DOI Link 1305
tissue density in breast cancer evaluation. BibRef

Bandyopadhyay, S.K.[Samir K.], Maitra, I.K.[Indra Kanta], Nag, S.[Sanjay],
Mammographic Density Estimation and Classification Using Segmentation and Progressive Elimination Method,
IJIG(13), No. 03, 2013, pp. 1350013.
DOI Link 1309
BibRef

Jagannath, H.S., Virmani, J., Kumar, V.,
Morphological Enhancement of Microcalcifications in Digital Mammograms,
JIEI-B(93), No. 3, September-November 2012, pp. 163-172.
Springer DOI 1506
BibRef

Kumar, I.[Indrajeet], Virmani, J.[Jitendra], Bhadauria, H.S.,
A Review of Breast Density Classification Methods,
ICCSGD15(). BibRef 1500

Kallenberg, M., Petersen, K., Nielsen, M., Ng, A.Y., Diao, P., Igel, C., Vachon, C.M., Holland, K., Winkel, R.R., Karssemeijer, N., Lillholm, M.,
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring,
MedImg(35), No. 5, May 2016, pp. 1322-1331.
IEEE DOI 1605
Breast cancer BibRef

Rabidas, R.[Rinku], Chakraborty, J.[Jayasree], Midya, A.[Abhishek],
Analysis of 2D singularities for mammographic mass classification,
IET-CV(11), No. 1, February 2017, pp. 22-32.
DOI Link 1703
BibRef

Chokri, F.[Ferkous], Farida, M.H.[Merouani Hayet],
Mammographic mass classification according to Bi-RADS lexicon,
IET-CV(11), No. 3, April 2017, pp. 189-198.
DOI Link 1704
BibRef


García, E.[Eloy], Oliver, A.[Arnau], Diez, Y.[Yago], Diaz, O.[Oliver], Lladó, X.[Xavier], Martí, R.[Robert], Martí, J.[Joan],
Similarity Metrics for Intensity-Based Registration Using Breast Density Maps,
IbPRIA17(217-225).
Springer DOI 1706
BibRef

Rampun, A.[Andrik], Morrow, P.[Philip], Scotney, B.[Bryan], Winder, J.[John],
Breast Density Classification Using Local Ternary Patterns in Mammograms,
ICIAR17(463-470).
Springer DOI 1706
BibRef

Fonseca, P.[Pablo], Castañeda, B.[Benjamin], Valenzuela, R.[Ricardo], Wainer, J.[Jacques],
Breast Density Classification with Convolutional Neural Networks,
CIARP16(101-108).
Springer DOI 1703
BibRef

Sajeev, S., Bajger, M.[Mariusz], Lee, G.[Gobert],
Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE,
DICTA15(1-8)
IEEE DOI 1603
entropy BibRef

Lao, Z.Q.[Zhi-Qiang], Huo, Z.M.[Zhi-Min],
Quantitative assessment of breast dense tissue on mammograms,
ICIP09(2605-2608).
IEEE DOI 0911
BibRef

Hadley, E.M.[Edward M.], Denton, E.R.E.[Erika R. E.], Pont, J.[Josep], Pérez, E.[Elsa], Zwiggelaar, R.[Reyer],
Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information,
IbPRIA07(II: 186-193).
Springer DOI 0706
BibRef

Bosch, A.[Anna], Munoz, X.[Xavier], Oliver, A.[Arnau], Marti, J.[Joan],
Modeling and Classifying Breast Tissue Density in Mammograms,
CVPR06(II: 1552-1558).
IEEE DOI 0606
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Mammograms, MRI, Magnetic Resonance Imaging .


Last update:Nov 11, 2017 at 13:31:57