Mammagram

BACKGROUND AND OBJECTIVE: Simulation of diverse lesions in images is proposed and applied to overcome the scarcity of labeled data, which has hindered the application of deep learning in medical imaging. However, most of current studies focus on generating samples with class labels for classification and detection rather than segmentation, because generating images with precise masks remains a challenge. Therefore, we aim to generate realistic medical images with precise masks for improving lesion segmentation in mammagrams...

PURPOSE: To determine the diagnostic yield of primary circulating tumor cells in women with suspicion of breast cancer, detected as a result of an abnormal mammography. MATERIALS AND METHODS: Consecutive women presenting for breast biopsy as a result of a mammogram BiRADs of 3 or more, had an 8 ml blood sample taken for primary circulating tumor cell (CTC) detection. Mononuclear cells were obtained using differential gel centrifugation and CTCs identified using standard immunocytochemistry using anti-mammoglobin...

The authors analyze the X-ray picture of the changes occurring in the mammary glands in women with various endocrine diseases and in men with gynecomastia. Contrastless mammagraphy was carried out in 189 persons. In studying the mammagrams in patients with endocrine diseases assessment was made of the state of the subcutaneous-adipose cellular tissue, total dimensions of the organ. The majority of the endocrine diseases were accompanied at the initial stages of their development by changes in the endocrine gland, this serving as a direct indication for the use of contrastless roentgenography for the purpose of earlier and proper choice of the therapeutic method...