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1. Les recommandations nationales françaises de prise en charge du cancer du sein infiltrant: Onze questions cliniques d’actualité sur le bilan initial, la radiothérapie et les traitements systémiques

Author

Giard, S., Cutuli, B., Antoine, M., Barreau, B., Besnard, S., Bonneterre, J., Campone, M., Ceugnard, L., Classe, J. M., Cohen, M., Dohoullou, N., Fourquet, A., Guinebretière, J. M., Hennequin, C., Leblanc-Onfroy, M., Levy, L., Mazeau-Woynar, V., Mouret Reynier, M. A., Rousseau, C., and Verdoni, L.

Published
2013
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14. Measuring image texture to separate 'difficult' from 'easy' mammograms

Author

Barreau B, Dilhuydy Mh, Hajnal S, and Paul Taylor

Subjects
Dense connective tissue, Pathology, medicine.medical_specialty, Image texture, Image Processing, Computer-Assisted, medicine, Humans, Mass Screening, Mammography, Radiology, Nuclear Medicine and imaging, Breast, skin and connective tissue diseases, health care economics and organizations, Breast tissue, medicine.diagnostic_test, business.industry, Sorting, Pattern recognition, General Medicine, Middle Aged, Adipose Tissue, ROC Curve, Female, Artificial intelligence, business, Algorithms
Abstract

We are investigating computerized techniques for sorting mammograms according to whether the breast tissue is fatty or dense. The hypothesis is that areas of dense tissue are a major factor in making certain mammograms harder for both radiologists and computers to interpret. Being able to identify dense mammograms automatically could permit better use of the time and skills of expert radiologists by allowing the difficult mammograms to be examined by the most experienced readers. In addition, the scope for computer-aided detection of abnormalities might be increased by concentrating on the easier, fatty mammograms. The mammograms used in the experiment were classified independently by two radiologists, who agreed in almost all cases. A number of local statistical and texture measures were then computed for patches from digitizations of these mammograms. One of the measures (local skewness in tiles) gives a good separation between fatty and dense patches. This measure has been incorporated into an automated procedure that separates off approximately two thirds of the fatty mammograms. This finding has been replicated on mammograms taken from a UK screening programme. The relationship between the fatty/dense distinction and the classification proposed by Wolfe is discussed.

Published
1994

28. Carcinomes canalaires in situ bilatéraux: événements indépendants ou maladie bilatérale?

Author

André, G., primary, Tunon-de-Lara, C., additional, Macgrogan, G., additional, Laharie-Mineur, H., additional, Bussieres, J.-E., additional, Valentin, F., additional, Barreau, B., additional, Dilhuydy, M.-H., additional, Dilhuydy, J.-M., additional, Mauriac, L., additional, Debled, M., additional, Durand, M., additional, Mathoulin, S., additional, and Avril, A., additional

Published
2007
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