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Abstract. Blood vessels are a major cause of false positives in computer aided detection systems for the detection of breast cancer.
Vessel segmentation in screening mammograms. Find Full text. Publication year. 2015. Author(s). Mordang, J.J. · Karssemeijer, N. Publisher. S.l. : SPIE. In.
Therefore, the purpose of this study is to construct a framework for the segmentation of blood vessels in screening mammograms. The proposed framework is based ...
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Vessel extraction is a fundamental step in certain medical imaging applications such as angiograms. Different methods are available to segment vessels in ...
Mar 5, 2024 · Examples of true and predicted segmentations for breast, FGT, and blood vessels on cropped images from the test set. Breast masks are colored ...
In this paper a fully automatic algorithm for the extraction of vessels in noisy medical images is presented and validated for mammograms. The main issue in ...
Missing: screening | Show results with:screening
Aug 5, 2021 · Net (SCU-Net) designed for efficient vessel calcification segmentation on mammograms. It incorporates dilated convolution operations to ...
The computer-algorithm based method can detect most large vessels, and provide an effective means in reducing the labeling of vascular pixels as suspicious on ...
Dec 9, 2022 · This paper proposes combining the U-Net with Coordinated Attention and Attention Gates to enhance target feature information and suppress irrelevant regions.