LitCovid-sentences  

PMC:7782580 / 42136-45910 JSONTXT 3 Projects

Annnotations TAB TSV DIC JSON TextAE Lectin_function

Id Subject Object Predicate Lexical cue
T314 0-176 Sentence denotes We used the multi-modal data sets from four public data sets and one hospital (Youan hospital) in our research and split the hybrid data set in the following manner.For X-data:
T315 177-319 Sentence denotes The CXR images of COVID-19 cases collected from the public CCD52 contained 212 patients diagnosed with COVID-19 and were resized to 512 × 512.
T316 320-393 Sentence denotes Each image contained 1–2 suspected areas with inflammatory lesions (SAs).
T317 394-493 Sentence denotes We also collected 5100 normal cases and 3100 pneumonia cases from another public data set (RSNA)53.
T318 494-715 Sentence denotes In addition, The CXR images collected from the Youan hospital contained 45 cases diagnosed with COVID-19, 503 normal cases, 435 cases diagnosed with pneumonia (not COVID-19 patients), and 145 cases diagnosed as influenza.
T319 716-822 Sentence denotes The CXR images collected from the Youan hospital were obtained using the Carestream DRX-Revolution system.
T320 823-940 Sentence denotes All the CXR images of COVID-19 cases were analyzed by the two experienced radiologists to determine the lesion areas.
T321 941-1120 Sentence denotes The X-data of the normal cases (XNPDS), that of the pneumonia cases (XPPDS), and that of the COVID-19 cases (XCPDS) from public data sets constituted the X public data set (XPDS).
T322 1121-1304 Sentence denotes The X-data of the normal cases (XNHDS), that of the pneumonia cases (XPHDS), and that of the COVID-19 cases (XCHDS) from the Youan hospital constituted the X hospital data set (XHDS).
T323 1305-1317 Sentence denotes For CT-data:
T324 1318-1800 Sentence denotes We collected CT-data of 120 normal cases from a public lung CT-data set (LUNA16, a large data set for automatic nodule detection in the lungs54), which was a subset of LIDC-IDRI (The LIDC-IDRI contains a total of 1018 helical thoracic CT scans collected using manufacturers from eight medical imaging companies including AGFA Healthcare, Carestream Health, Inc., Fuji Photo Film Co., GE Healthcare, iCAD, Inc., Philips Healthcare, Riverain Medical, and Siemens Medical Solutions)55.
T325 1801-1966 Sentence denotes It was confirmed by the two experienced radiologists from the Youan Hospital that no lesion areas of COVID-19, pneumonia, or influenza were present in the 120 cases.
T326 1967-2109 Sentence denotes We also collected the CT-data of pneumonia cases from a public data set (images of COVID-19 positive and negative pneumonia patients: ICNP)56.
T327 2110-2282 Sentence denotes The CT-data collected from the Youan hospital contained 95 patients diagnosed with COVID-19, 50 patients diagnosed with influenza and 215 patients diagnosed with pneumonia.
T328 2283-2451 Sentence denotes The images of the CT scans collected from the Youan hospital were obtained using the PHILIPS Brilliance iCT 256 system (Which was also used for the LIDC-IDRI data set).
T329 2452-2565 Sentence denotes The slice thickness of the CT scans was 5 mm, and the CT-data images were grayscale images with 512 × 512 pixels.
T330 2566-2756 Sentence denotes Areas with 2–5 SAs were annotated by the two experienced radiologists using a rapid keystroke-entry format in the images for each case, and these areas ranged from 16 × 16 to 64 × 64 pixels.
T331 2757-2908 Sentence denotes The CT-data of the normal cases (CTNPDS) and that of the pneumonia cases (CTPPDS) from the public data sets constituted the CT public data set (CTPDS).
T332 2909-3153 Sentence denotes The CT-data of the COVID-19 cases from the Youan hospital (CTCHDS), the influenza cases from the Youan hospital (CTIHDS), and the normal cases from the Youan hospital (CTNHDS) constituted the CT hospital (clinically-diagnosed) data set (CTHDS).
T333 3154-3182 Sentence denotes For clinical indicator data:
T334 3183-3409 Sentence denotes Five clinical indicators (white blood cell count, neutrophil percentage, lymphocyte percentage, procalcitonin, C-reactive protein) of 95 COVID-19 cases were obtained from the Youan hospital, as shown in Supplementary Table 20.
T335 3410-3666 Sentence denotes A total of 95 data pairs from the 95 COVID-19 cases (369 images of the lesion area and the 95 × 5 clinical indicators) were collected from the Youan hospital for the correlation analysis of the lesion areas of the COVID-19 and the five clinical indicators.
T336 3667-3774 Sentence denotes The images of the SAs and the clinical indicator data constituted the correlation analysis data set (CADS).