S
Stephen Morrell
Researcher at University College London
Publications - 4
Citations - 221
Stephen Morrell is an academic researcher from University College London. The author has contributed to research in topics: Deep learning & Image processing. The author has an hindex of 3, co-authored 3 publications receiving 95 citations.
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Journal ArticleDOI
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Thomas Schaffter,Diana S. M. Buist,Christoph I. Lee,Yaroslav Nikulin,Dezső Ribli,Yuanfang Guan,William Lotter,Zequn Jie,Hao Du,Sijia Wang,Jiashi Feng,Mengling Feng,Hyo-Eun Kim,F. Albiol,Alberto Albiol,Stephen Morrell,Zbigniew Wojna,Mehmet Eren Ahsen,Umar Asif,Antonio Jimeno Yepes,Shivanthan A.C. Yohanandan,Simona Rabinovici-Cohen,Darvin Yi,Bruce Hoff,Thomas Yu,Elias Chaibub Neto,Daniel L. Rubin,Peter Lindholm,Laurie R. Margolies,Russell B. McBride,Joseph H. Rothstein,Weiva Sieh,Rami Ben-Ari,Stefan Harrer,Andrew D. Trister,Stephen H. Friend,Thea Norman,Berkman Sahiner,Fredrik Strand,Fredrik Strand,Justin Guinney,Gustavo Stolovitzky,Lester Mackey,Joyce Cahoon,Li Shen,Jae Ho Sohn,Hari Trivedi,Yiqiu Shen,Ljubomir Buturovic,Jose Costa Pereira,Jaime S. Cardoso,Eduardo Castro,Karl Trygve Kalleberg,Obioma Pelka,Imane Nedjar,Krzysztof J. Geras,Felix Nensa,Ethan Goan,Sven Koitka,Sven Koitka,Luis Caballero,David D. Cox,Pavitra Krishnaswamy,Gaurav Pandey,Christoph M. Friedrich,Dimitri Perrin,Clinton Fookes,Bibo Shi,Gerard Cardoso Negrie,Michael Kawczynski,Kyunghyun Cho,Can Son Khoo,Joseph Y. Lo,A. Gregory Sorensen,Hwejin Jung +74 more
TL;DR: This diagnostic accuracy study evaluates whether artificial intelligence can overcome human mammography interpretation limits with a rigorous, unbiased evaluation of machine learning algorithms.
Posted Content
Large-scale mammography CAD with Deformable Conv-Nets
TL;DR: In this paper, a neural network architecture based on R-FCN and deformable convolutional nets (DCN) was proposed for breast-wise detection in the DREAMS challenge, which achieved an area under the ROC curve of 0.879.
Book ChapterDOI
Large-Scale Mammography CAD with Deformable Conv-Nets
TL;DR: This study presents a neural net architecture based on R-FCN/DCN, that has adapted from the natural image domain to suit mammograms—particularly their larger image size—without compromising resolution.
Journal ArticleDOI
A Performance Evaluation of an Optoelectronic Cervical Screening Device in Comparison to Cytology and HPV DNA Testing
J. N.I. Vet,James P. Haindl,C Velásquez,Leonie J. Parker,Margaret I. Burns,Stephen Morrell,M.J. Campion +6 more
TL;DR: The optoelectronic screening device demonstrated comparable sensitivity to high quality cytology conducted in a hospital clinical setting and Specificity was comparable to hrHPV-testing in an approximate primary screening setting.