A new approach to data integration with AI to enhance the specificity of prostate cancer diagnosis

被引:0
作者
Da Silva, Moreira N. S. [1 ]
Vasdev, N. [2 ]
Budd, J. [1 ]
Yeung, M. [1 ]
Giganti, F. [3 ]
Davies, L. [1 ]
Burn, P. R. [4 ]
Hindley, R. G. [5 ]
Ibrahim, M. [2 ]
Bradley, A. J. [6 ]
Maskell, G. [6 ]
Andreou, A. [7 ]
Liyanage, S. [8 ]
Persad, R. [9 ]
Aning, J. [9 ]
Barrett, T. J. [10 ]
Hinton, M. D. B. [1 ]
Padhani, A. R. [11 ]
Sala, E. [12 ]
Rix, A. W. [1 ]
Shah, A. [13 ]
机构
[1] Lucida Med Ltd, Dept Machine Learning, Cambridge, England
[2] East & North Herts NHS Trust, Dept Urol, Stevenage, Herts, England
[3] UCL, Dept Radiol, London, England
[4] Somerset NHS Fdn Trust, Dept Radiol, Taunton, Somerset, England
[5] Hampshire Hosp NHS Fdn Trust, Dept Urol, Winchester, Hants, England
[6] Royal Cornwall Hosp NHS Fdn Trust, Dept Radiol, Truro, England
[7] Royal United Hosp Bath NHS Fdn Trust, Dept Radiol, Bath, Avon, England
[8] Mid & South Essex NHS Fdn Trust, Dept Radiol, Southend On Sea, England
[9] North Bristol NHS Trust, Dept Urol, Bristol, Avon, England
[10] Cambridge Univ Hosp NHS Fdn Trust, Dept Radiol, Cambridge, England
[11] Paul Strickland Scanner Ctr, Dept Radiol, Northwood, Middx, England
[12] Policlin Univ A Gemelli IRCCS, Dept Radiol, Rome, Italy
[13] Hampshire Hosp NHS Fdn Trust, Dept Radiol, Winchester, Hants, England
关键词
D O I
暂无
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
A0726
引用
收藏
页码:S1694 / S1695
页数:2
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