Artificial intelligence in cancer imaging: clinical challenges and applications

WL Bi, A Hosny, MB Schabath, ML Giger… - CA: a cancer journal …, 2019 - Wiley Online Library
Judgement, as one of the core tenets of medicine, relies upon the integration of multilayered
data with nuanced decision making. Cancer offers a unique context for medical decisions …

Radiomics: a new application from established techniques

V Parekh, MA Jacobs - Expert review of precision medicine and …, 2016 - Taylor & Francis
The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …

Three-dimensional solid texture analysis in biomedical imaging: review and opportunities

A Depeursinge, A Foncubierta-Rodriguez… - Medical image …, 2014 - Elsevier
Three-dimensional computerized characterization of biomedical solid textures is key to large-
scale and high-throughput screening of imaging data. Such data increasingly become …

A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications

I Sechopoulos - Medical physics, 2013 - Wiley Online Library
Many important post‐acquisition aspects of breast tomosynthesis imaging can impact its
clinical performance. Chief among them is the reconstruction algorithm that generates the …

Detection and classification of calcifications on digital breast tomosynthesis and 2D digital mammography: a comparison

ML Spangler, ML Zuley, JH Sumkin… - American Journal of …, 2011 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this article is to compare the ability of digital breast
tomosynthesis and full field digital mammography (FFDM) to detect and characterize …

Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment

A Gastounioti, EF Conant, D Kontos - Breast cancer research, 2016 - Springer
Background The assessment of a woman's risk for developing breast cancer has become
increasingly important for establishing personalized screening recommendations and …

Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers

P Garg, A Mohanty, S Ramisetty, P Kulkarni… - … et Biophysica Acta (BBA …, 2023 - Elsevier
Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the
greatest threat to world health, with early identification being crucial to patient outcomes and …

[HTML][HTML] Breast MRI, digital mammography and breast tomosynthesis: comparison of three methods for early detection of breast cancer

D Roganovic, D Djilas, S Vujnovic, D Pavic… - Bosnian journal of …, 2015 - ncbi.nlm.nih.gov
Breast cancer is the most common malignancy in women and early detection is important for
its successful treatment. The aim of this study was to investigate the sensitivity and specificity …

Clinical artificial intelligence applications: breast imaging

Q Hu, ML Giger - Radiologic Clinics, 2021 - radiologic.theclinics.com
Breast cancer is the most commonly diagnosed cancer and the second leading cause of
cancer death among women in the United States, with over 281,000 estimated new cases …

Misclassification of breast imaging reporting and data system (BI‐RADS) mammographic density and implications for breast density reporting legislation

CC Gard, EJ Aiello Bowles, DL Miglioretti… - The breast …, 2015 - Wiley Online Library
USA states have begun legislating mammographic breast density reporting to women,
requiring that women undergoing screening mammography who have dense breast tissue …