Détection automatique des opacités dans les mammographies par la méthode de minimisation de la somme de l'inertie

Hasegawa, 2002, Dual-modality imaging of function and physiology, Acad. Radiol., 9, 1305, 10.1016/S1076-6332(03)80564-0 “Breast cancer” [En ligne] http://www.medicineworld.org/cancer/breast (page consultée le 13 juin 2005). Kelgelmeyer, 1994, Computer –aided mammographic screening for speculated lesions, Radiology, 191, 331, 10.1148/radiology.191.2.8153302 Kobatake, 1999, Computerized Detection of malignant Tumours on digital Mammograms, IEEE Trans. Image Process., 18, 369, 10.1109/42.774164 Li, 2001, “Computerized Radiographic Mass Detection. Part I: Lesion Site selection by Morphological Enhancement and contextual Segmentation, IEEE Trans. Image Process., 20, 189 Gupta, 1995, “The use of texture analysis to identify suspicious masses in mammography”, Phys. Med. Bio., 40, 835, 10.1088/0031-9155/40/5/009 Viton, 1996, Method for characterizing masses in digital masses in digital mammograms, Opt. Eng., 35, 3453, 10.1117/1.601107 Yin, 1993, Comparison of bilateral-substraction and single-image processing techniques in the computerized detection of mamographic masses, Invest. Radiol., 28, 473, 10.1097/00004424-199306000-00001 Petrosian, 1994, “computer-aided diagnosis in mammography: Classification of mass and normal tissue by texture analysis”, Phys. Med. Biol., 39, 2273, 10.1088/0031-9155/39/12/010 Vachier, 1997 Matsubara, 1998, "Development of new algorithm for detection of mammographic masses", Digital mammography (Computational Imaging and vision), 13, 139, 10.1007/978-94-011-5318-8_22 Huai, 2001, “Computerized Radiographic mass detection. Part II: Decision Support by featured. Database visualization and modular Neural Networks, IEEE Trans. Med. Imaging, 20, 302, 10.1109/42.921479 Coquerez, 1995