[HTML][HTML] Artificial intelligence in breast cancer diagnosis and personalized medicine

JS Ahn, S Shin, SA Yang, EK Park, KH Kim… - Journal of Breast …, 2023 - ncbi.nlm.nih.gov
Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …

Digital breast tomosynthesis (3D mammography) for breast cancer screening and for assessment of screen-recalled findings: review of the evidence

T Li, ML Marinovich, N Houssami - Expert review of anticancer …, 2018 - Taylor & Francis
Introduction: Digital breast tomosynthesis (DBT) addresses some of the limitations of digital
mammography (DM) by reducing the effect of overlapping tissue. Emerging data have …

Deep learning in breast cancer screening

H Harvey, A Heindl, G Khara, D Korkinof… - Artificial intelligence in …, 2019 - Springer
Traditional computer aided detection (CAD) systems for breast cancer screening relied on
machine learning with human-coded feature-engineering. They have largely failed to fulfill …

Blink identification with eye tracking: a software processing program

M Searjeant, P Phillips, D Roy… - Medical Imaging 2021 …, 2021 - spiedigitallibrary.org
Currently in the UK, a national trial to test the effect of a transition from traditional Full Field
Digital Mammography (FFDM) to Digital Breast Tomosynthesis (DBT) is being conducted …

Identifying and preventing fatigue in digital breast tomosynthesis

A Taib, G Partridge, I Darker… - Medical Imaging 2023 …, 2023 - spiedigitallibrary.org
Digital Breast Tomosynthesis (DBT) increases breast cancer detection rates but produces a
significantly greater number of images for screeners to read compared to traditional two …