Results 11 to 20 of about 77,670 (220)
BMC Women's Health, 2022 Objective Ethnic disparity persists despite equal access to health care in Singapore, with Malay-Muslim women having the lowest mammogram uptake rate and highest breast cancer mortality rate.
Su-Ann Goh +6 more
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Imaging Artifacts on Synthesized Mammogram: What a Radiologist should Know!
Indian Journal of Radiology and Imaging, 2022 Synthesized mammogram is a new technique that involves reconstruction of a two-dimensional (2D) image from the tomosynthesis images rather than separate acquisition of a standard 2D mammogram.
Shrea Gulati, Ekta Dhamija, Roshni Anand
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Nigerian Journal of Medicine, 2022 Background: Breast cancer remains the major cause of cancer morbidity and mortality among women globally. The risk of breast cancer increases with advancing age.
Barnabas Mafala Mandong +4 more
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King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)
International Conference on Data Technologies and Applications, 2021 The current era is characterized by the rapidly increasing use of computer-aided diagnosis (CAD) systems in the medical field. These systems need a variety of datasets to help develop, evaluate, and compare their performances fairly. Physicians indicated
Asmaa Alsolami +5 more
semanticscholar +1 more source
IEEE Access, 2020 Segmentation of the breast region and pectoral muscle are fundamental subsequent steps in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region and pectoral muscle are considered a difficult task, particularly in mammogram ...
D. A. Zebari +4 more
semanticscholar +1 more source
JMIR Medical Informatics, 2021 Background Screening mammography is recommended for the early detection of breast cancer. The processes for ordering screening mammography often rely on a health care provider order and a scheduler to arrange the time and location of breast imaging. Self-
F. North +5 more
semanticscholar +1 more source
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning
IEEE International Joint Conference on Neural Network, 2021 Computer aided diagnosis for mammogram images have seen positive results through the usage of deep learning architectures. However, limited sample sizes for the target datasets might prevent the usage of a deep learning model under real world scenarios ...
Saul Calderon-Ramirez +8 more
semanticscholar +1 more source
Predicting the onset of breast cancer using mammogram imaging data with irregular boundary.
Biostatistics, 2021 With mammography being the primary breast cancer screening strategy, it is essential to make full use of the mammogram imaging data to better identify women who are at higher and lower than average risk.
Shu Jiang +3 more
semanticscholar +1 more source
Analisis Fraktal Citra Mammogram Berbasis Tekstur Sebagai Pendukung Diagnosis Kanker Payudara
Positron, 2013 Penelitian ini mengkaji tentang analisa citra mammogram dengan menggunakan metode analisis fraktal. Pengolahan citra dimulai dengan mengubah citra berwarna menjadi citra grayscale, kemudian dilanjutkan dengan proses thresholding untuk mendapatkan citra ...
Muspika Helja +2 more
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Preprocessing of Breast Cancer Images to Create Datasets for Deep-CNN
IEEE Access, 2021 Breast cancer is the most diagnosed cancer in Australia with crude incidence rates increasing drastically from 62.8 at ages 35–39 to 271.4 at ages 50–54 (cases per 100,000 women). Various researchers have proposed methods and tools based on
Abhijith Reddy Beeravolu +5 more
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