PMC:7782580 / 15018-17237 JSONTXT 2 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T111 0-169 Sentence denotes The CNN-based classification framework exhibited excellent performance based on the validation by experts using multi-modal data from public data sets and Youan hospital
T112 170-388 Sentence denotes The structure of the proposed framework, consisting of the stage I sub-framework and the stage II sub-framework is shown in Fig. 3a, where Q, L, M, and N are the hyper-parameters of the framework for general use cases.
T113 389-518 Sentence denotes The values of Q, L, M, and N were 1, 1, 2, and 2, respectively, in this study; this framework referred to as the CNNCF framework.
T114 519-677 Sentence denotes The stage I and stage II sub-frameworks were designed to extract features corresponding to different optimization goals in the analysis of the medical images.
T115 678-923 Sentence denotes The performance of the CNNCF was evaluated using multi-modal data sets (X-data and CT-data) to ensure the generalization and transferability of the model, and five evaluation indicators were used (sensitivity, precision, specificity, F1, kappa).
T116 924-1048 Sentence denotes The salient features of the images extracted by the CNNCF were visualized in a heatmap (four examples are shown in Fig. 2b).
T117 1049-1297 Sentence denotes In this study, multiple experiments were conducted (including experiments that included data from the same source and from different sources) to validate the generalization ability of the framework while avoiding the possible sample selection bias.
T118 1298-1534 Sentence denotes Five experts evaluated the images, i.e., a 7th-year respiratory resident (Respira.), a 3rd-year emergency resident (Emerg.), a 1st-year respiratory intern (Intern), a 5th-year radiologist (Rad-5th), and a 3rd-year radiologist (Rad-3rd).
T119 1535-1607 Sentence denotes The definition of the expert group can be found in Supplementary Note 1.
T120 1608-1890 Sentence denotes The abbreviations of all the data sets used in the following experiments including XPDS, XPTS, XPVS, XHDS, XHTS, XHVS, CTPDS, CTPTS, CTPVS, CTHDS, CTHTS, CTHVS, CADS, CATS, CAVS, XMTS, XMVS, CTMTS, and CTMVS were defined in the “Methods” section (see “Data sets splitting” section).
T121 1891-1927 Sentence denotes The following results were obtained.
T122 1928-1956 Sentence denotes Fig. 3 CNN-based frameworks.
T123 1957-2219 Sentence denotes a The classification framework for the identification of COVID-19. b The regression framework for the correlation analysis between the lesion areas and the clinical indicators. c is the workflow of the classification framework for the identification of COVID-19.