Image metrics in full or segmented mammograms: a quantitative study
Anna Worthy, Nadia Smith, E. Cooke, L. Wright et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
Mark Halling‐Brown
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93Publications signalées
5946Citations signalées
2Affiliations récentes
Institutions déclarées
Domaines associés
AI in cancer detectionRadiomics and Machine Learning in Medical ImagingDigital Radiography and Breast ImagingGlobal Cancer Incidence and ScreeningLong-Term Effects of COVID-19
Publications récentes
Image metrics in full or segmented mammograms: a quantitative study
Anna Worthy, Nadia Smith, E. Cooke, L. Wright et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
Change in mammographic density as a potential predictor of cancer recurrence after breast conservation surgery and adjuvant endocrine therapy: results of the MEDICI study
Sarah L Savaridas, A. Marshall, Kulsam Ali, Susan M Astley et autres
0 citationsBreast Cancer Research
Development and evaluation of artificial intelligence tools to estimate volumetric breast density from processed 2D mammograms
Sam Ellis, Sandra Gomes, Mark Halling‐Brown, Kenneth C. Young et autres
0 citationsBJR|Artificial Intelligence
FAST MRI: DYAMOND trial protocol (can an abbreviated MRI scan detect breast cancers missed by mammography for screening clients with average mammographic density attending their first screening mammogram?)—a diagnostic yield study within the NHS population-risk breast screening programme
Lyn Jones, Rebecca Geach, Abi Loose, Sadie McKeown-Keegan et autres
0 citationsBMJ Open
MSOP06 Presentation Time: 5:25 PM
Thomas Maccabe, Helen Minnaar, Jimmy Yu, Matthew Trumble et autres
0 citationsBrachytherapy
Patient and public perceptions of ethical and equitability challenges associated with breast cancer screening and the proposed introduction of Artificial Intelligence (AI) based mammographic screening tools
Hutan Ashrafian, Aminata Sy, Ara Darzi, Christopher Kelly et autres
0 citationsEuropean Journal of Surgical Oncology
Evaluation of an AI tool to measure mammographic density for use in a FAST MRI trial
Sandra Terezinha Marques Gomes, Lucy M. Warren, Mark Halling‐Brown, Ken H. Young et autres
0 citationsThe Royal College of Radiologists Open
Diagnostic performance of tomosynthesis plus synthetic mammography versus full‐field digital mammography with or without tomosynthesis in breast cancer screening: A systematic review and meta‐analysis
Wasim Hamad, Michael Michell, Jonathan P. Myles, Fiona J. Gilbert et autres
10 citationsInternational Journal of Cancer
Contact X-ray Brachytherapy as a sole treatment in selected patients with early rectal cancer – Multi-centre study
Ngu Wah Than, D. Mark Pritchard, David M. Hughes, Kai Yu et autres
3 citationsClinical and Translational Radiation Oncology
Explainability of an AI-based breast cancer risk prediction tool
Sam Ellis, Sandra Gomes, Matthew Trumble, Mark Halling‐Brown et autres
0 citations
Optimising the diagnostic accuracy of First post-contrAst SubtracTed breast MRI (FAST MRI) through interpretation-training: a multicentre e-learning study, mapping the learning curve of NHS Breast Screening Programme (NHSBSP) mammogram readers using an enriched dataset
Lyn Jones, Andrea Marshall, Rebecca Geach, Premkumar Elangovan et autres
3 citationsBreast Cancer Research
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