[HTML][HTML] Errors in mammography cannot be solved through technology alone
Mammography has been the frontline screening tool for breast cancer for decades.
However, high error rates in the form of false negatives (FNs) and false positives (FPs) have …
However, high error rates in the form of false negatives (FNs) and false positives (FPs) have …
Improving breast cancer detection accuracy of mammography with the concurrent use of an artificial intelligence tool
S Pacilè, J Lopez, P Chone, T Bertinotti… - Radiology: Artificial …, 2020 - pubs.rsna.org
Purpose To evaluate the benefits of an artificial intelligence (AI)–based tool for two-
dimensional mammography in the breast cancer detection process. Materials and Methods …
dimensional mammography in the breast cancer detection process. Materials and Methods …
X-ray phase-contrast technology in breast imaging: principles, options, and clinical application
OBJECTIVE. The purpose of this article is to review different x-ray phase-contrast breast
imaging techniques and their potential application in clinical settings. CONCLUSION. Phase …
imaging techniques and their potential application in clinical settings. CONCLUSION. Phase …
Diagnostic performance of AI for cancers registered in a mammography screening program: a retrospective analysis
I Kizildag Yirgin, YO Koyluoglu… - … in cancer research …, 2022 - journals.sagepub.com
Purpose: To evaluate the performance of an artificial intelligence (AI) algorithm in a
simulated screening setting and its effectiveness in detecting missed and interval cancers …
simulated screening setting and its effectiveness in detecting missed and interval cancers …
[HTML][HTML] Look how far we have come: BREAST cancer detection education on the international stage
PD Trieu, CR Mello-Thoms, ML Barron… - Frontiers in oncology, 2023 - frontiersin.org
The development of screening mammography over 30 years has remarkedly reduced breast
cancer–associated mortality by 20%-30% through detection of small cancer lesions at early …
cancer–associated mortality by 20%-30% through detection of small cancer lesions at early …
[HTML][HTML] Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms
J Kühl, MT Elhakim, SW Stougaard… - European …, 2024 - Springer
Objectives To validate an AI system for standalone breast cancer detection on an entire
screening population in comparison to first-reading breast radiologists. Materials and …
screening population in comparison to first-reading breast radiologists. Materials and …
Do reader characteristics affect diagnostic efficacy in screening mammography? A systematic review
To examine reader characteristics associated with diagnostic efficacy in the interpretation of
screening mammograms. A systematic search of the literature was conducted using …
screening mammograms. A systematic search of the literature was conducted using …
Improvement of cancer detection on mammograms via BREAST test sets
Background Breast Screen Reader Assessment Strategy (BREAST) is an innovative training
and research program for radiologists in Australia and New Zealand. The aim of this study is …
and research program for radiologists in Australia and New Zealand. The aim of this study is …
[HTML][HTML] Improving radiologist's ability in identifying particular abnormal lesions on mammograms through training test set with immediate feedback
It has been shown that there are differences in diagnostic accuracy of cancer detection on
mammograms, from below 50% in developing countries to over 80% in developed world …
mammograms, from below 50% in developing countries to over 80% in developed world …
[HTML][HTML] Finding cancer in mammograms: if you know it's there, do you know where?
Humans can extract considerable information from scenes, even when these are presented
extremely quickly. The ability of an experienced radiologist to rapidly detect an abnormality …
extremely quickly. The ability of an experienced radiologist to rapidly detect an abnormality …