This study demonstrated that using the computerized detected feature differences related to the bilateral mammographic breast tissue asymmetry, an automated scheme is able to classify a set of testing cases into the two groups of positive or negative of having or developing breast abnormalities and/or cancer.
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A method for automated detection of breast tumors in mammograms is presented. The method uses the asymmetry principle: Strong structural asymmetries between ...
Nov 14, 2023 · This research focuses on developing a computer system for asymmetry detection in mammographic images, employing two critical approaches: Dynamic ...
Breast asymmetry is an important radiological sign of cancer. This paper describes the first approach aiming to detect all types of asymmetry; ...
This paper describes the first approach aiming to detect all types of asymmetry; previous asymmetry-based research has been focussed on the detection of mass ...
Aug 7, 2024 · This study's objective is to outline a non-invasive method for using mammograms to detect breast abnormalities, classify breast disorders, and ...
Breast asymmetry is an important radiological sign of cancer. This paper describes the first approach aiming to detect all types of asymmetry; previous ...
Mammography plays an important role in screening breast cancer among females, and artificial intelligence has enabled the automated detection of diseases on ...
The purpose of this study is to develop an automated scheme to detect breast tissue asymmetry depicted on bilateral mammograms and use the computed ...
The study suggests that automated assessment of global bilateral asymmetry could serve as a breast cancer risk biomarker for women undergoing mammographic ...