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February 1, 2018SHILAP Revista de lepidopterología803 citationsOpen Access

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

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WBWenjia BaiMSMatthew SinclairGTGiacomo Tarroni

Structured PICO

Does automated cardiovascular magnetic resonance image analysis with fully convolutional networks achieve performance on par with human experts in deriving clinically relevant measures?

P
Population
Cardiovascular magnetic resonance (CMR) images
I
Intervention
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
C
Comparator
Human experts
O
Outcome
Performance in analysing CMR images and deriving clinically relevant measuressurrogate

An automated method using fully convolutional networks can analyze CMR images and derive clinical measures with performance comparable to human experts.

Abstract

We show that an automated method achieves a performance on par with human experts in analysing CMR images and deriving clinically relevant measures.

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Cite This Study

Bai et al. (2018) studied this question.

synapsesocial.com/papers/69d781d5db9d5e1bf4b8b3d5https://doi.org/10.1186/s12968-018-0471-x
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