On this page most recent advances (state-of-the-art) in mammographic image analysis will be presented. Here you can find:
for papers published in the last six months or so in high impact factor journals. These journals are carefully selected according to predifined rules and they can be found under "Journals & Books" page on this web-site. Papers on this page will be constantly updated and older papers will be removed when newer papers are published. |
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Academic Radiology
Matching Breast Masses Depicted on Different Views. A Comparison of Three Methods
Zheng, B., Tan, J., Ganott, M.A., Chough, D.M., Gur, D.
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Assessment of Performance Improvement in Content-based Medical Image Retrieval Schemes Using Fractal Dimension
Park, S.C., Wang, X.-H., Zheng, B.
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Multi-modality CADx. ROC Study of the Effect on Radiologists' Accuracy in Characterizing Breast Masses on Mammograms and 3D Ultrasound Images
Park, S.C., Pu, J., Zheng, B.
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American Journal of Roentgenology
Detection of breast cancer with full-field digital mammography and computer-aided detection
The, J.S., Schilling, K.J., Hoffmeister, J.W., Friedmann, E., McGinnis, R., Holcomb, R.G.
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Artificial Intelligence in Medicine
An interpretable fuzzy rule-based classification methodology for medical diagnosis
Gadaras, I., Mikhailov, L.
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A model-free ensemble method for class prediction with application to biomedical decision making
Kodell, R.L., Pearce, B.A., Baek, S., Moon, H., Ahn, H., Young, J.F., Chen, J.J.
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British Journal of Radiology
Do screen-detected lobular and ductal carcinoma present with different mammographic features?
Garnett, S., Wallis, M., Morgan, G.
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Computerized Medical Imaging and Graphics
A comparison of two methods for the segmentation of masses in the digital mammograms
Dubey, R.B., Hanmandlu, M., Gupta, S.K.
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A textural approach for mass false positive reduction in mammography
Lladó, X., Oliver, A., Freixenet, J., Martí, R., Martí, J.
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Computers in Biology and Medicine
Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM
Braz Junior, G., Cardoso de Paiva, A., Corrêa Silva, A., Cesar Muniz de Oliveira, A.
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Development of tolerant features for characterization of masses in mammograms
Rojas-Domínguez, A., Nandi, A.K.
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European Journal of Radiology
Generalized subtraction methods in digital mammography
Taibi, A.
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Digital mammography: An update
Schulz-Wendtland, R., Fuchsjäger, M., Wacker, T., Hermann, K.-P.
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The performance of computer-aided detection when analyzing prior mammograms of newly detected breast cancers with special focus on the time interval from initial imaging to detection
Malich, A., Schmidt, S., Fischer, D.R., Facius, M., Kaiser, W.A.
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IEEE Transactions on Information Technology in Biomedicine
Indexes for three-class classification performance assessment - An empirical comparison
Sampat, M.P., Patel, A.C., Wang, Y., Gupta, S., Kan, C.-W., Bovik, A.C., Markey, M.K.
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Computer-aided detection and diagnosis of breast cancer with mammography: Recent advances
Tang, J., Rangayyan, R.M., Xu, J., El Naqa, I.E., Yang, Y.
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IEEE Transactions on Medical Imaging
Oriented active shape models
Liu, J., Udupa, J.K.
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International Journal of Computer Assisted Radiology and Surgery
Intensity-based elastic registration incorporating anisotropic landmark errors and rotational information
Šerifović-Trbalić, A., Demirović, D., Prlača, N., Szekely, G., Cattin, P.C.
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Computer-aided detection of breast carcinoma in standard mammographic projections with digital mammography
Destounis, S., Hanson, S., Morgan, R., Murphy, P., Somerville, P., Seifert, P., Andolina, V., Arieno, A., Skolny, M., Logan-Young, W.
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A pilot study of architectural distortion detection in mammograms based on characteristics of line shadows
Nemoto, M., Honmura, S., Shimizu, A., Furukawa, D., Kobatake, H., Nawano, S.
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Characterization and classification of tumor lesions using computerized fractal-based texture analysis and support vector machines in digital mammograms
Guo, Q., Shao, J., Ruiz, V.F.
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Journal of Digital Imaging
Computer-Aided Identification of the Pectoral Muscle in Digitized Mammograms
Camilus, K.S., Govindan, V.K., Sathidevi, P.S.
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Effect of Pixel Resolution on Texture Features of Breast Masses in Mammograms
Rangayyan, R.M., Nguyen, T.M., Ayres, F.J., Nandi, A.K.
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A New Fast Fractal Modeling Approach for the Detection of Microcalcifications in Mammograms
Sankar, D., Thomas, T.
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A Statistical Approach for Breast Density Segmentation
Oliver, A., Lladó, X., Pérez, E., Pont, J., Denton, E.R.E., Freixenet, J., Martí, J.
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Medical Physics
Computer-aided detection of breast masses on mammograms: Dual system approach with two-view analysis
Wei, J., Chan, H.-P., Sahiner, B., Zhou, C., Hadjiiski, L.M., Roubidoux, M.A., Helvie, M.A.
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Noise injection for training artificial neural networks: A comparison with weight decay and early stopping
Zur, R.M., Jiang, Y., Pesce, L.L., Drukker, K.
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CADx of mammographic masses and clustered microcalcifications: A review
Elter, M., Horsch, A.
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Evaluation of clinical image processing algorithms used in digital mammography
Zanca, F., Jacobs, J., Van Ongeval, C., Claus, F., Celis, V., Geniets, C., Provost, V., Pauwels, H., Marchal, G., Bosmans, H.
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Computer-aided mass detection in mammography: False positive reduction via gray-scale invariant ranklet texture features
Masotti, M., Lanconelli, N., Campanini, R.
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Accurate estimation of compressed breast thickness in mammography
Mawdsley, G.E., Tyson, A.H., Peressotti, C.L., Jong, R.A., Yaffe, M.J.
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Physics in Medicine and Biology
Introducing DeBRa: A detailed breast model for radiological studies
Ma, A.K.W., Gunn, S., Darambara, D.G.
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Improving performance of content-based image retrieval schemes in searching for similar breast mass regions: An assessment
Wang, X.-H., Park, S.C., Zheng, B.
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Improved mammographic CAD performance using multi-view information: A Bayesian network framework
Velikova, M., Samulski, M., Lucas, P.J.F., Karssemeijer, N.
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