Publications by authors named "M P Becchere"

Histopathology, the gold-standard technique in classifying canine mammary tumors (CMTs), is a time-consuming process, affected by high inter-observer variability. Digital (DP) and Computer-aided pathology (CAD) are emergent fields that will improve overall classification accuracy. In this study, the ability of the CAD systems to distinguish benign from malignant CMTs has been explored on a dataset-namely -of 1056 hematoxylin and eosin JPEG images from 20 benign and 24 malignant CMTs, with three different CAD systems based on the combination of a convolutional neural network (VGG16, Inception v3, EfficientNet), which acts as a feature extractor, and a classifier (support vector machines (SVM) or stochastic gradient boosting (SGB)), placed on top of the neural net.

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Background: The use of Macrolane™ seems to have several advantages compared to the other standard methods for breast augmentation: it is faster, less invasive, and requires only local anesthesia. Nevertheless, various complications associated with the use of Macrolane™ have been described, e.g.

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We report the case of a 27-year-old woman with primary actinomycosis of the breast. Diagnosis was established by culture examination of specimen recovered by fine-needle aspiration cytology (FNAC) under ultrasound guidance. To our knowledge, this is the first description in the literature of a case of primary actinomycosis of the breast caused by Actinomyces viscosus.

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Purpose: To assess the usefulness of stereotactic vacuum-assisted core breast biopsy (VCBB) performed using a stereotactic add-on device and film-screen technology with the patient in an upright seated position.

Material And Methods: We reviewed a series of 129 women with non-palpable mammographic abnormalities who required stereotactic VCBB from December 1999 to November 2000. Twenty-seven (20.

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