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Table 3 Performance metrics for the Faster R-CNN model, assessed on single filed images selected from the test dataset

From: Automatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study

 

ASCUS

LISL

HSIL

True-positive

541

422

576

False-negative

65

168

193

Total

606

590

779

Sensitivity

89.3%

71.5%

73.9%

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Cancer Cell International

ISSN: 1475-2867

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