Current methods in medical image segmentation
▪ Abstract Image segmentation plays a crucial role in many medical-imaging applications, by
automating or facilitating the delineation of anatomical structures and other regions of …
automating or facilitating the delineation of anatomical structures and other regions of …
A review of automatic mass detection and segmentation in mammographic images
The aim of this paper is to review existing approaches to the automatic detection and
segmentation of masses in mammographic images, highlighting the key-points and main …
segmentation of masses in mammographic images, highlighting the key-points and main …
Stand-alone artificial intelligence for breast cancer detection in mammography: comparison with 101 radiologists
A Rodriguez-Ruiz, K Lång… - JNCI: Journal of the …, 2019 - academic.oup.com
Background Artificial intelligence (AI) systems performing at radiologist-like levels in the
evaluation of digital mammography (DM) would improve breast cancer screening accuracy …
evaluation of digital mammography (DM) would improve breast cancer screening accuracy …
Detection of breast cancer with mammography: effect of an artificial intelligence support system
Purpose To compare breast cancer detection performance of radiologists reading
mammographic examinations unaided versus supported by an artificial intelligence (AI) …
mammographic examinations unaided versus supported by an artificial intelligence (AI) …
Improved threshold based and trainable fully automated segmentation for breast cancer boundary and pectoral muscle in mammogram images
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 …
in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region …
Classification of mammogram for early detection of breast cancer using SVM classifier and Hough transform
Breast cancer is one of the significant health problems in the world. If these abnormalities in
breast cancer are detected early there is a maximum chance for recovery. For this early …
breast cancer are detected early there is a maximum chance for recovery. For this early …
Identifying normal mammograms in a large screening population using artificial intelligence
K Lång, M Dustler, V Dahlblom, A Åkesson… - European …, 2021 - Springer
Objectives To evaluate the potential of artificial intelligence (AI) to identify normal
mammograms in a screening population. Methods In this retrospective study, 9581 double …
mammograms in a screening population. Methods In this retrospective study, 9581 double …
Quantitative assessment of mammographic breast density: relationship with breast cancer risk
JA Harvey, VE Bovbjerg - Radiology, 2004 - pubs.rsna.org
Increased mammographic breast density is a moderate independent risk factor for breast
cancer, with findings of published studies in which quantitative methods of assessment were …
cancer, with findings of published studies in which quantitative methods of assessment were …
A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs
Mammography is the best available tool for screening for the early detection of breast
cancer. Mammographic screening has been shown to be effective in reducing breast cancer …
cancer. Mammographic screening has been shown to be effective in reducing breast cancer …
Mammographic density. Measurement of mammographic density
MJ Yaffe - Breast Cancer Research, 2008 - Springer
Mammographic density has been strongly associated with increased risk of breast cancer.
Furthermore, density is inversely correlated with the accuracy of mammography and …
Furthermore, density is inversely correlated with the accuracy of mammography and …