Artificial intelligence in mammographic phenoty** of breast cancer risk: a narrative review
Background Improved breast cancer risk assessment models are needed to enable
personalized screening strategies that achieve better harm-to-benefit ratio based on earlier …
personalized screening strategies that achieve better harm-to-benefit ratio based on earlier …
Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
Retrospective studies have shown artificial intelligence (AI) algorithms can match as well as
enhance radiologist's performance in breast screening. These tools can facilitate tasks not …
enhance radiologist's performance in breast screening. These tools can facilitate tasks not …
Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women
Background Breast density is strongly associated with breast cancer risk. Fully automated
quantitative density assessment methods have recently been developed that could facilitate …
quantitative density assessment methods have recently been developed that could facilitate …
Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature
A Anandarajah, Y Chen, GA Colditz, A Hardi… - Breast Cancer …, 2022 - Springer
This systematic review aimed to assess the methods used to classify mammographic breast
parenchymal features in relation to the prediction of future breast cancer. The databases …
parenchymal features in relation to the prediction of future breast cancer. The databases …
Saliency of breast lesions in breast cancer detection using artificial intelligence
The analysis of mammograms using artificial intelligence (AI) has shown great potential for
assisting breast cancer screening. We use saliency maps to study the role of breast lesions …
assisting breast cancer screening. We use saliency maps to study the role of breast lesions …
Going beyond conventional mammographic density to discover novel mammogram-based predictors of breast cancer risk
This commentary is about predicting a woman's breast cancer risk from her mammogram,
building on the work of Wolfe, Boyd and Yaffe on mammographic density. We summarise …
building on the work of Wolfe, Boyd and Yaffe on mammographic density. We summarise …
Opportunities in cancer imaging: risk-adapted breast imaging in screening
In the UK, women between 50–70 years are invited for 3-yearly mammography screening
irrespective of their likelihood of develo** breast cancer. The only risk adaption is for …
irrespective of their likelihood of develo** breast cancer. The only risk adaption is for …
Mammographic texture versus conventional Cumulus measure of density in breast cancer risk prediction: a literature review
Mammographic textures show promise as breast cancer risk predictors, distinct from
mammographic density. Yet, there is a lack of comprehensive evidence to determine the …
mammographic density. Yet, there is a lack of comprehensive evidence to determine the …
Algorithms and methods for computerized analysis of mammography images in breast cancer risk assessment
Background and objectives: The computerized analysis of mammograms for the
development of quantitative biomarkers is a growing field with applications in breast cancer …
development of quantitative biomarkers is a growing field with applications in breast cancer …
Mammographic density and breast cancer risk in Asian women
S Mariapun - 2023 - eprints.nottingham.ac.uk
Breast cancer is the most common cancer worldwide and in 2020, nearly half of the cases
globally were from Asia. The mortality-to-incidence ratio in Asia is higher than the world …
globally were from Asia. The mortality-to-incidence ratio in Asia is higher than the world …