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Producing radiologist-quality reports for interpretable artificial
  intelligence

Producing radiologist-quality reports for interpretable artificial intelligence

1 June 2018
William Gale
Luke Oakden-Rayner
G. Carneiro
A. Bradley
L. Palmer
    MedIm
ArXivPDFHTML

Papers citing "Producing radiologist-quality reports for interpretable artificial intelligence"

6 / 6 papers shown
Title
AI assisted method for efficiently generating breast ultrasound
  screening reports
AI assisted method for efficiently generating breast ultrasound screening reports
Shuang Ge
Qiongyu Ye
Wenquan Xie
Desheng Sun
Huabin Zhang
Xiaobo Zhou
Kehong Yuan
20
3
0
28 Jul 2021
Diagnostic Captioning: A Survey
Diagnostic Captioning: A Survey
John Pavlopoulos
Vasiliki Kougia
Ion Androutsopoulos
D. Papamichail
3DV
MedIm
89
26
0
18 Jan 2021
Why model why? Assessing the strengths and limitations of LIME
Why model why? Assessing the strengths and limitations of LIME
Jurgen Dieber
S. Kirrane
FAtt
12
97
0
30 Nov 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAML
AI4CE
32
300
0
08 Jan 2020
Clinically Accurate Chest X-Ray Report Generation
Clinically Accurate Chest X-Ray Report Generation
Guanxiong Liu
T. Hsu
Matthew B. A. McDermott
Willie Boag
W. Weng
Peter Szolovits
Marzyeh Ghassemi
MedIm
25
270
0
04 Apr 2019
Unsupervised Multimodal Representation Learning across Medical Images
  and Reports
Unsupervised Multimodal Representation Learning across Medical Images and Reports
T. Hsu
W. Weng
Willie Boag
Matthew B. A. McDermott
Peter Szolovits
SSL
9
35
0
21 Nov 2018
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