Learning the ideal observer for SKE detection tasks by use of convolutional neural networks - researchr publication related

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Weimin Zhou, Mark A. Anastasio. Learning the ideal observer for SKE detection tasks by use of convolutional neural networks. In Robert M. Nishikawa, Frank W. Samuelson, editors, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, Texas, United States, 10-15 February 2018. Volume 10577 of SPIE Proceedings, pages 1057719, SPIE, 2018. [doi]

The following publications are possibly variants of this publication:

Learning the Hotelling observer for SKE detection tasks by use of supervised learning methodsWeimin Zhou, Hua Li 0003, Mark A. Anastasio. miipop 2019: 1095208 [doi]

Learning the ideal observer for joint detection and localization tasks by use of convolutional neural networksWeimin Zhou, Mark A. Anastasio. miipop 2019: 1095209 [doi]

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