Personalized early detection and prevention of breast cancer: ENVISION consensus statement
Abstract The European Collaborative on Personalized Early Detection and Prevention of
Breast Cancer (ENVISION) brings together several international research consortia working …
Breast Cancer (ENVISION) brings together several international research consortia working …
Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives
Although computer-aided diagnosis (CAD) is widely used in mammography, conventional
CAD programs that use prompts to indicate potential cancers on the mammograms have not …
CAD programs that use prompts to indicate potential cancers on the mammograms have not …
Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark
M von Euler-Chelpin, M Lillholm, I Vejborg… - Breast Cancer …, 2019 - Springer
Background Screening mammography works better in fatty than in dense breast tissue.
Computerized assessment of parenchymal texture is a non-subjective method to obtain a …
Computerized assessment of parenchymal texture is a non-subjective method to obtain a …
Diagnostic strategies for breast cancer detection: from image generation to classification strategies using artificial intelligence algorithms
JA Basurto-Hurtado, IA Cruz-Albarran… - Cancers, 2022 - mdpi.com
Simple Summary With the recent advances in the field of artificial intelligence, it has been
possible to develop robust and accurate methodologies that can deliver noticeable results in …
possible to develop robust and accurate methodologies that can deliver noticeable results in …
[HTML][HTML] Risk models for breast cancer and their validation
AR Brentnall, J Cuzick - Statistical science: a review journal of the …, 2020 - ncbi.nlm.nih.gov
Strategies to prevent cancer and diagnose it early when it is most treatable are needed to
reduce the public health burden from rising disease incidence. Risk assessment is playing …
reduce the public health burden from rising disease incidence. Risk assessment is playing …
Breast cancer classification using deep learned features boosted with handcrafted features
Breast cancer is one of the leading causes of death among women across the globe. It is
difficult to treat if detected at advanced stages. However, early detection can significantly …
difficult to treat if detected at advanced stages. However, early detection can significantly …
Prediction of reader estimates of mammographic density using convolutional neural networks
Mammographic density is an important risk factor for breast cancer. In recent research,
percentage density assessed visually using visual analogue scales (VAS) showed stronger …
percentage density assessed visually using visual analogue scales (VAS) showed stronger …
Breast cancer risk prediction using machine learning: a systematic review
Background Breast cancer is the leading cause of cancer-related fatalities among women
worldwide. Conventional screening and risk prediction models primarily rely on …
worldwide. Conventional screening and risk prediction models primarily rely on …
Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study
Percent mammographic density (PMD) is a strong breast cancer risk factor, however, other
mammographic features, such as V, the standard deviation (SD) of pixel intensity, may be …
mammographic features, such as V, the standard deviation (SD) of pixel intensity, may be …
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 …