20.7.1.8 Mammograms, MRI, Magnetic Resonance Imaging

Chapter Contents (Back)
Mammograms. MRI. Medical, Applications.

Levman, J., Leung, T., Causer, P., Plewes, D., Martel, A.L.,
Classification of Dynamic Contrast-Enhanced Magnetic Resonance Breast Lesions by Support Vector Machines,
MedImg(27), No. 5, May 2008, pp. 688-696.
IEEE DOI 0711
BibRef

Gal, Y.[Yaniv], Mehnert, A.J.H.[Andrew J.H.], Bradley, A.P.[Andrew P.], McMahon, K., Kennedy, D.[Dominic], Crozier, S.[Stuart],
Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means,
MedImg(29), No. 2, February 2010, pp. 302-310.
IEEE DOI 1002
BibRef
Earlier: A1, A2, A3, A5, A6, Only:
Feature and Classifier Selection for Automatic Classification of Lesions in Dynamic Contrast-Enhanced MRI of the Breast,
DICTA09(132-139).
IEEE DOI 0912
BibRef

Nagarajan, M.B.[Mahesh B.], Huber, M.B.[Markus B.], Schlossbauer, T.[Thomas], Leinsinger, G.[Gerda], Krol, A.[Andrzej], Wismüller, A.[Axel],
Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement,
MVA(24), No. 7, October 2013, pp. 1371-1381.
Springer DOI 1309
BibRef
Earlier:
Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization,
MLMI11(352-359).
Springer DOI 1109
BibRef

Soares, F., Janela, F., Pereira, M., Seabra, J., Freire, M.M.,
3D Lacunarity in Multifractal Analysis of Breast Tumor Lesions in Dynamic Contrast-Enhanced Magnetic Resonance Imaging,
IP(22), No. 11, 2013, pp. 4422-4435.
IEEE DOI 1310
biological organs BibRef

Platel, B., Mus, R., Welte, T., Karssemeijer, N., Mann, R.,
Automated Characterization of Breast Lesions Imaged With an Ultrafast DCE-MR Protocol,
MedImg(33), No. 2, February 2014, pp. 225-232.
IEEE DOI 1403
biomedical MRI BibRef

Ribes, S., Didierlaurent, D., Decoster, N., Gonneau, E., Risser, L., Feillel, V., Caselles, O.,
Automatic Segmentation of Breast MR Images Through a Markov Random Field Statistical Model,
MedImg(33), No. 10, October 2014, pp. 1986-1996.
IEEE DOI 1411
Markov processes BibRef

Khalvati, F., Gallego-Ortiz, C., Balasingham, S., Martel, A.L.,
Automated Segmentation of Breast in 3-D MR Images Using a Robust Atlas,
MedImg(34), No. 1, January 2015, pp. 116-125.
IEEE DOI 1502
biological organs BibRef

Rasti, R.[Reza], Teshnehlab, M.[Mohammad], Phung, S.L.[Son Lam],
Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks,
PR(72), No. 1, 2017, pp. 381-390.
Elsevier DOI 1708
Breast, cancer BibRef


Marrone, S., Piantadosi, G., Fusco, R., Petrillo, A., Sansone, M., Sansone, C.,
Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI,
ICPR16(1472-1477)
IEEE DOI 1705
Breast, Heart, Image edge detection, Image segmentation, Lesions, Muscles, Three-dimensional displays, Breast DCE-MRI, Fuzzy C-Means, Segmentation BibRef

Tzalavra, A.[Alexia], Dalakleidi, K.[Kalliopi], Zacharaki, E.I.[Evangelia I.], Tsiaparass, N.[Nikolaos], Constantinidis, F.[Fotios], Paragios, N.[Nikos], Nikita, K.S.[Konstantina S.],
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI,
MLMI16(296-304).
Springer DOI 1611
BibRef

Razavi, M.[Mohammad], Wang, L.[Lei], Tan, T.[Tao], Karssemeijer, N.[Nico], Linsen, L.[Lars], Frese, U.[Udo], Hahn, H.K.[Horst K.], Zachmann, G.[Gabriel],
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI,
MLMI16(305-312).
Springer DOI 1611
BibRef

Urbán, S.[Szabolcs], Ruskó, L.[László], Nagy, A.[Antal],
A Self-learning Tumor Segmentation Method on DCE-MRI Images,
ICIAR16(591-598).
Springer DOI 1608
BibRef

Razavi, M.[Mohammad], Wang, L.[Lei], Gubern-Mérida, A.[Albert], Ivanovska, T.[Tatyana], Laue, H.[Hendrik], Karssemeijer, N.[Nico], Hahn, H.K.[Horst K.],
Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal,
CIAP15(I:528-536).
Springer DOI 1511
BibRef

Maken, F.A., Gal, Y., McClymont, D., Bradley, A.P.,
Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging,
DICTA14(1-8)
IEEE DOI 1502
biomedical MRI BibRef

Liu, Y.P.[Yi-Ping], Liu, H.[Hui], Zhao, Z.W.[Zuo-Wei], Zhang, L.[Lina], Liu, X.[Xiang],
A new active contour model-based segmentation approach for accurate extraction of the lesion from breast DCE-MRI,
ICIP13(1140-1143)
IEEE DOI 1402
Active contours BibRef

Srikantha, A.[Abhilash],
Symmetry-Based Detection and Diagnosis of DCIS in Breast MRI,
GCPR13(255-260).
Springer DOI 1311
BibRef

Marrone, S.[Stefano], Piantadosi, G.[Gabriele],
Automatic Lesion Detection in Breast DCE-MRI,
CIAP13(II:359-368).
Springer DOI 1309
BibRef

Liang, X.[Xi], Ramamohanara, K., Frazer, H., Yang, Q.[Qing],
Lesion Segmentation in Dynamic Contrast Enhanced MRI of Breast,
DICTA12(1-8).
IEEE DOI 1303
BibRef

Piantadosi, G.[Gabriele], Fusco, R.[Roberta], Petrillo, A.[Antonella], Sansone, M.[Mario], Sansone, C.[Carlo],
LBP-TOP for Volume Lesion Classification in Breast DCE-MRI,
CIAP15(I:647-657).
Springer DOI 1511
BibRef
Earlier: A2, A4, A3, A5, Only:
A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI,
SSSPR12(684-692).
Springer DOI 1211
BibRef

Fusco, R.[Roberta], Sansone, M.[Mario], Sansone, C.[Carlo], Petrillo, A.[Antonella],
Selection of Suspicious ROIs in Breast DCE-MRI,
CIAP11(I: 48-57).
Springer DOI 1109
BibRef

Tao, Y.[Yimo], Xuan, J.H.[Jian-Hua], Freedman, M.T.[Matthew T.], Chepko, G.[Gloria], Shields, P.G.[Peter G.], Wang, Y.[Yue],
Imaging biomarker analysis of rat mammary fat pads and glandular tissues in MRI images,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Meyer-Baese, A., Lange, O., Schlossbauer, T., Wismuller, A.,
Computer-aided diagnosis and visualization based on clustering and independent component analysis for breast MRI,
ICIP08(3000-3003).
IEEE DOI 0810
BibRef

d'Elia, C., Marrocco, C., Molinara, M., Poggi, G., Scarpa, G., Tortorella, F.,
Detection of microcalcifications clusters in mammograms through TS-MRF segmentation and SVM-based classification,
ICPR04(III: 742-745).
IEEE DOI 0409
BibRef

Marrocco, C.[Claudio], Molinara, M.[Mario], Tortorella, F.[Francesco],
Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications,
CIAP11(I: 384-392).
Springer DOI 1109
BibRef

Marrocco, C.[Claudio], Molinara, M.[Mario], Tortorella, F.[Francesco],
Algorithms for Detecting Clusters of Microcalcifications in Mammograms,
CIAP05(884-891).
Springer DOI 0509
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Mammograms, Three Dimensional Analysis, Registration .


Last update:Nov 18, 2017 at 20:56:18