Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks | Quintanilla-Dominguez et al. EURASIP Journal on Advances in Signal Processing 2011 201 1 91o EURASIP Journal on http content 2011 1 91 Advances in Signal Processing a SpringerOpen Journal RESEARCH Open Access Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks 1 Joel Quintanilla-Dominguez Benjamin Ojeda-Magana Alexis Marcano-Cedeno María G Cortina-Januchs Antonio Vega-Corona3 and Diego Andina1 Abstract A new method for detecting microcalcifications in regions of interest ROIs extracted from digitized mammograms is proposed. The top-hat transform is a technique based on mathematical morphology operations and in this paper is used to perform contrast enhancement of the mi-crocalcifications. To improve microcalcification detection a novel image sub-segmentation approach based on the possibilistic fuzzy c-means algorithm is used. From the original ROIs window-based features such as the mean and standard deviation were extracted these features were used as an input vector in a classifier. The classifier is based on an artificial neural network to identify patterns belonging to microcalcifications and healthy tissue. Our results show that the proposed method is a good alternative for automatically detecting microcalcifications because this stage is an important part of early breast cancer detection. Keywords detection of microcalcifications top-hat transform possibilistic fuzzy c-means clustering algorithm artificial neural networks 1 Introduction Breast cancer is one of the most serious types of cancer that affects women around the world. It is also one of the leading causes of mortality in middle-aged and elderly women. The International Agency for Research on Cancer IARC estimates that more than 1 million cases of breast cancer occur world-wide each year with some 580 000 cases occurring in developed countries and the remainder in developing countries. The risk of a woman .
