M
Michael Berks
Researcher at University of Manchester
Publications - 45
Citations - 378
Michael Berks is an academic researcher from University of Manchester. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 9, co-authored 36 publications receiving 274 citations.
Papers
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Journal ArticleDOI
Prediction of reader estimates of mammographic density using convolutional neural networks.
Georgia V. Ionescu,Martin Fergie,Michael Berks,Elaine F. Harkness,Johan Hulleman,Adam R. Brentnall,Jack Cuzick,D. Gareth Evans,Susan M. Astley +8 more
TL;DR: This work has built convolutional neural networks (CNN) to predict density VAS scores from full-field digital mammograms and shows promising results for cancer risk prediction and is comparable with human performance.
Journal ArticleDOI
Intra-and inter-observer reliability of nailfold videocapillaroscopy — A possible outcome measure for systemic sclerosis-related microangiopathy
Graham Dinsdale,Tonia L Moore,Neil O'Leary,Philip A. Tresadern,Michael Berks,Chris Roberts,Joanne Manning,John F. Allen,Marina E Anderson,Maurizio Cutolo,Roger Hesselstrand,Kevin Howell,Carmen Pizzorni,Vanessa Smith,Alberto Sulli,Marie Wildt,Christopher J. Taylor,Andrea Murray,Ariane L. Herrick +18 more
TL;DR: Evaluability is one of the major challenges in assessing nailfold capillaries, but the high intra- and inter-reliabilities suggest that overall image grade, capillary density and apex width have potential as outcome measures in longitudinal studies.
Book ChapterDOI
An automated system for detecting and measuring nailfold capillaries.
Michael Berks,Philip A. Tresadern,Graham Dinsdale,Andrea Murray,Tonia Moore,Ariane L. Herrick,Christopher J. Taylor +6 more
TL;DR: A fully automated system for extracting quantitative biomarkers from capillaroscopy images, using a layered machine learning approach, that reveals statistically significant differences between patients with (relatively benign) primary Raynaud's phenomenon, and those with potentially life-threatening systemic sclerosis.
Journal ArticleDOI
Quantitative outcome measures for systemic sclerosis-related Microangiopathy – Reliability of image acquisition in Nailfold Capillaroscopy
Graham Dinsdale,Tonia L Moore,Neil O'Leary,Michael Berks,Chris Roberts,Joanne Manning,John F. Allen,Marina E Anderson,Maurizio Cutolo,Roger Hesselstrand,Kevin Howell,Carmen Pizzorni,Vanessa Smith,Alberto Sulli,Marie Wildt,Christopher J. Taylor,Andrea Murray,Ariane L. Herrick +17 more
TL;DR: Quantitative nailfold capillaroscopy, at least with a single observer, provides reliable outcome measures for clinical studies including randomised controlled trials, and within-operator image analysis and acquisition are reproducible.
Book ChapterDOI
Detecting and classifying linear structures in mammograms using random forests
TL;DR: This work adopts a discriminative learning approach based on a Dual-Tree Complex Wavelet representation and random forest classification that gives significantly better results than any of the other methods on the challenge of detecting curvilinear structure in mammograms.