Evaluation of CNN as anthropomorphic model observer-Reference-Cited by-同舟云学术

Evaluation of CNN as anthropomorphic model observer

Published:2017-03-10 Issue: Volume: Page:
ISSN:0277-786X
Container-title:Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment
language:
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Author:

Massanes Francesc¹,Brankov Jovan G.¹

Affiliation:

1. Illinois Institute of Technology (United States)

Publisher

SPIE

Reference30 articles.

2. Model observers for assessment of image quality;Barrett,1993

3. Y. LeCun and Y. Bengio, Convolutional networks for images, speech, and time series. MIT Press, 1995, pp. 255–258.

5. Very Deep Convolutional Networks for Large-Scale Image Recognition;Simonyan,2014

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