King abdulaziz university breast cancer mammogram dataset (kau-bcmd)

AS Alsolami, W Shalash, W Alsaggaf, S Ashoor… - Data, 2021 - mdpi.com
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 …

Deep learning for computer-aided abnormalities classification in digital mammogram: A data-centric perspective

V Nalla, S Pouriyeh, RM Parizi, H Trivedi… - Current Problems in …, 2024 - Elsevier
Breast cancer is the most common type of cancer in women, and early abnormality detection
using mammography can significantly improve breast cancer survival rates. Diverse …

Digital Breast Tomosynthesis: towards dose reduction through image quality improvement

AM Mota, J Mendes, N Matela - Journal of Imaging, 2023 - mdpi.com
Currently, breast cancer is the most commonly diagnosed type of cancer worldwide. Digital
Breast Tomosynthesis (DBT) has been widely accepted as a stand-alone modality to replace …

[HTML][HTML] 基于系统仿真的数字乳腺层析成像性能分析

邓耀宏, 朱曼曼, 李穗, 王永波, 高杨… - Journal of Southern …, 2021 - ncbi.nlm.nih.gov
基于系统仿真的数字乳腺层析成像性能分析- PMC Back to Top Skip to main content NIH NLM
Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation …

3D Synthetic View for X-Ray Breast Cancer Mammogram Images.

M Alfraheed - Ingénierie des Systèmes d'Information, 2024 - search.ebscohost.com
Showing the mammogram images in different view enables the radiological to recognize
more early details about the cancer tumour. The synthetic view was addressed to find the …

Assessment of imaging performance of digital breast tomosynthesis based on systematic simulation

Y Deng, M Zhu, S Li, Y Wang, Y Gao… - Nan Fang yi ke da xue xue …, 2021 - europepmc.org
Objective The raw measurements of physical phantoms at a variety of radiation dose levels
and clinical patients at the normal radiation dose were acquired from a clinical DBT system …