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Table 1 Sensitivity and precision of the CNN model in the training and testing sets

From: Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study

Data

Marked fractures

Detected fractures

Correctly detected fractures

Sensitivity (%)

Precision (%)

Training set

2647

3580

2435

92.0

68.0

Testing set

437

488

398

91.1

81.6

  1. Sensitivity is number of fractures detected correctly divided by the number of marked fractures. Precision is the number of fractures detected correctly divided by the number of fractures detected
  2. CNN convolutional neural network
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BMC Medical Imaging

ISSN: 1471-2342

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