| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T3 |
0-89 |
Sentence |
denotes |
Coronavirus disease 2019 (COVID-19) is a global pandemic posing significant health risks. |
| T4 |
90-188 |
Sentence |
denotes |
The diagnostic test sensitivity of COVID-19 is limited due to irregularities in specimen handling. |
| T5 |
189-336 |
Sentence |
denotes |
We propose a deep learning framework that identifies COVID-19 from medical images as an auxiliary testing method to improve diagnostic sensitivity. |
| T6 |
337-671 |
Sentence |
denotes |
We use pseudo-coloring methods and a platform for annotating X-ray and computed tomography images to train the convolutional neural network, which achieves a performance similar to that of experts and provides high scores for multiple statistical indices (F1 scores > 96.72% (0.9307, 0.9890) and specificity >99.33% (0.9792, 1.0000)). |
| T7 |
672-756 |
Sentence |
denotes |
Heatmaps are used to visualize the salient features extracted by the neural network. |
| T8 |
757-950 |
Sentence |
denotes |
The neural network-based regression provides strong correlations between the lesion areas in the images and five clinical indicators, resulting in high accuracy of the classification framework. |
| T9 |
951-1060 |
Sentence |
denotes |
The proposed method represents a potential computer-aided diagnosis method for COVID-19 in clinical practice. |
