Breast density segmentation and classification methods are combined to enable the automatic and quantitative comparison of temporal mammograms of women using Hormone Replacement Therapy (HRT). The results are based on registration and density quantification, so that potentially the clinician may be informed about substantial localised breast density changes. The measures use texture based densi...

This paper presents an algorithm which aims to assist the radiologist in identifying breast cancer at its earlier stages. It combines several image processing techniques like image negative, thresholding and segmentation techniques for detection of tumor in mammograms. The algorithm is verified by using mammograms from Mammographic Image Analysis Society. The results obtained by applying these ...

BACKGROUND Practice recommendations for mammography screening were issued by the U.S. Preventive Services Task Force in 2009 and expansion of insurance coverage was provided under the Patient Protection and Affordable Care Act soon thereafter, yet the influence of these changes on screening practices in the United States is not known. METHODS To determine changes in mammography screening and ...

OBJECTIVE This study evaluated the use of the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) by community radiologists by determining the concordance of assessment categories and recommendations assigned to screening mammograms. MATERIALS AND METHODS The study comprised the interpretations of 82,620 consecutive screening mammograms by 18 radiologists between ...

PURPOSE To evaluate the use of a computer-aided detection (CAD) system (designed for mammographic mass detection) to help improve mass interpretation and to compare CAD results with independent double-reading results. MATERIALS AND METHODS Screening mammograms from 500 cases were collected; 125 of these cases were screening-detected cancers, and 125 were interval cancers. Previously obtained ...

Image processing innovations assume a significant part in diagnosing and distinguishing diseases monitoring these diseases’ quality. In Medical Images, detection of breast cancer its earlier stage is most important this field. Because the low contrast uncertain design tumor cells images, it still challenging to classify tumors only by visual testing radiologists. Hence, improvement computer-sup...

Abstract In a small number of people, an unexpected side effect the COVID-19 vaccine has emerged: swollen lymph nodes on same body as shot was given. For women who undergo breast screening soon after vaccination, such swelling can show up mammogram, so clinicians may need to take extra steps educate patients about this possibility and assess for follow-up testing.

Digital mammography is considered to be the most effective imaging modality for early detection of breast cancer. Masses and microcalcifications are two early signs of breast cancer. For the detection of masses, segmentation of mammograms results in ROIs (regions of interest) which not only include masses but suspicious normal tissues as well, which lead to false positives. The problem is to re...

This paper presents a novel approach to finding a priori interesting regions in mammograms. In order to delineate those regions of interest (ROI’s) in mammograms, which appear to be prominent, a topographic representation called the iso-level contour map consisting of iso-level contours at multiple intensity levels and region segmentation based-thresholding have been proposed. The simulation re...