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Breast ultrasound images have several attractive properties that make them an interesting tool in breast cancer detection. However, their intrinsic high noise rate and low contrast turn mass detection and segmentation into a challenging task. In this article, a fully automated two-stage breast mass segmentation approach is proposed. In the initial stage, ultrasound images are segmented using support...
This paper introduces a study for the segmentation of the breast ultrasound images. The objective is to separate the breast gland, which is the region of interest for the breast cancer diagnosis, from other tissues. Images are pre-processed with four different algorithms that consider the image surrounding: speckle reducing anisotropic diffusion, homomorphic filter, Perona and Malik non-linear diffusion...
Breast ultrasound images are an important diagnostic factor for breast cancer detection. However, ultrasound imaging is intrinsically degraded by noise, resulting in a difficult detection of masses or nodules, and, most importantly, the evaluation of their size and shape. Computer-aided diagnosis figures as a major help factor, when it comes to analyzing this type of medical imaging. A fully automated...
Winery wastewaters from white and red wine production were studied, in the first stage of this work, by a coagulation/flocculation process using four different coagulants (FeSO 4 , Al 2 (SO 4 ) 3 , FeCl 3 and Ca(OH) 2 ). The optimal pH and volume of coagulant added were studied. From the results achieved it was possible to verify that coagulation/flocculation...
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