Results 41 to 50 of about 77,670 (220)
Background : We measured the effect of 30 milliliters (mL) of 4% lidocaine gel on the breasts and chest wall of healthy women covered for 1 h on plasma concentrations of lidocaine and its principal metabolite, monoethylglycinexylidide (MEGX ...
Colleen K Lambertz+4 more
doaj +1 more source
Attention Dense-U-Net for Automatic Breast Mass Segmentation in Digital Mammogram
Breast mass is one of the most distinctive signs for the diagnosis of breast cancer, and the accurate segmentation of masses is critical for improving the accuracy of breast cancer detection and reducing the mortality rate.
Shuyi Li, M. Dong, Guangming Du, X. Mu
semanticscholar +1 more source
Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks [PDF]
Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the mammography is used as the most efficient technique to identify abnormalities such as tumors.
Amaya Rodríguez, Isabel+6 more
core +1 more source
This paper aims to review the previously developed Computer-aided detection (CAD) systems for mammogram screening because increasing death rate in women due to breast cancer is a global medical issue and it can be controlled only by early detection with ...
Susama Bagchi+3 more
semanticscholar +1 more source
The Big Squeeze: A Social and Political History of the Controversial Mammogram [PDF]
[Excerpt] The Big Squeeze: A Social and Political History of the Controversial Mammogram chronicles the often turbulent history of screening mammography since its introduction in the early 1970s. This book makes five key points.
Reynolds, Handel, MD
core +2 more sources
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Mammogram classification is directly related to computer-aided diagnosis of breast cancer. Traditional methods rely on regions of interest (ROIs) which require great efforts to annotate.
C Varela+8 more
core +1 more source
Segmentation-Based Fractal Texture Analysis (SFTA) to Detect Mass in Mammogram Images
ABSTRAK Di Indonesia, kasus kanker paling banyak adalah kanker payudara yaitu 58.256 kasus atau 16,7% dari total 348.809 kasus kanker. Dibutuhkan suatu sistem yang dapat membantu pakar untuk mendeteksi kanker payudara pada wanita dengan ...
IRMA AMELIA DEWI+2 more
doaj +1 more source
Cross-View Relation Networks for Mammogram Mass Detection [PDF]
In medical image analysis, multi-view modeling is crucial for pathology detection when the target lesion is presented in different views, e.g. mass lesions in breasts.
Jiechao Ma+6 more
semanticscholar +1 more source
Adequacy of Communicating Results From Screening Mammograms to African American and White Women
Objective. We examined whether African American women were as likely as White women to receive the results of a recent mammogram and to self-report results that matched the mammography radiology report (i.e., were adequately communicated). We also sought
Calvocoressi, Lisa+5 more
core +2 more sources
Mammography remains the most prevalent imaging tool for early breast cancer screening. The language used to describe abnormalities in mammographic reports is based on the breast Imaging Reporting and Data System (BI-RADS).
Boumaraf, Said+3 more
core +1 more source