Author:
Guerroudji Mohamed Amine,Amara Kahina,Zenati Nadia
Publisher
Springer Science and Business Media LLC
Reference39 articles.
1. Perez-Ponce H (2009) Corrélation entre les performances physiques mesurées des détecteurs et la qualité diagnostique de l’image en mammographie numérique. Diss, Institut National Polytechnique de Lorraine-INPL
2. Herredsvela J, Gulsrud T, Engan K (2005) Detection of circumscribed masses in mammograms using morphological segmentation. Proceedings of SPIE - the international society for optical engineering
3. Duarte M, Alvarenga A, Azevedo C, Calas M, Infantosi A, Pereira W (2013) Segmenting mammographic microcalcifications using a semiautomatic procedure based on Otsu’s meth-od morphological filters. Braz J Biomed Eng 29:377–388
4. Liu C, Tsai C, Liu J, Yu C, Yub S (2012) A pectoral muscle segmentation algorithm for digi-tal mammograms using Otsu thresholding and multiple regression analysis. Comput Math Appl 1:1100–1107
5. Arikidis N, Karajaliou A, Skiadopoulos S, Korfiatis P, Likaki E, Panayiotakis G (2010) Size-adapted micro calcification segmentation in mammography utilizing scale-space signatures. Compute Med Imaging Graph 34:487–493