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according to the paper I was expecting that the combined labels of finding and location is a nested list
along with their localizations when available: [[’pulmonary fibrosis’,’loc basal bilateral’], [’chronic changes’], [’kyphosis’], [’pseudonodule’, ’groundglass pattern’, ’loc basal’]].
but it seems to me, that in the data bimcv_covid19_posi_head_iter1/derivatives/labels/labels_covid19_posi.tsv the list is flat and that there is no obvious way to slice it?
Unnamed: 0 PatientID ReportID Report Labels Localizations LabelsLocalizationsBySentence labelCUIS LocalizationsCUIS
0 sub-S03968 ses-E08123 no disponemos de estudios previos con los que comparar . infiltrados en practicamente todo el hemitorax derecho e izquierdo de predominio en campo medio y basal y mayores en el lado derecho . no se aprecia derrame pleural . no dispongo de estudios previos con los que comparar . a valorar en el contexto clinico posible covid 19 "['infiltrates' 'COVID 19']" "['loc left' 'loc pleural' 'loc basal' 'loc middle lung field' 'loc right' 'loc hemithorax']" "['exclude' 'infiltrates' 'loc left' 'loc right' 'loc basal' 'loc hemithorax' 'loc middle lung field' 'normal' 'loc pleural' 'exclude' 'COVID 19']" "[C0277877 C5203670]" "[C0443246 C0032225 C1282378 C0929434 C0444532 C0934569]"
The text was updated successfully, but these errors were encountered:
Thanks for your comment. We'll tell the developer about it. Meanwhile, I hope you can make the relation of each finding and its locations. For example: the locations of 'infiltrates' are the next values with loc, I meant, 'loc left' 'loc right' 'loc basal' 'loc hemithorax' and 'loc middle lung field'
according to the paper I was expecting that the combined labels of finding and location is a nested list
but it seems to me, that in the data
bimcv_covid19_posi_head_iter1/derivatives/labels/labels_covid19_posi.tsv
the list is flat and that there is no obvious way to slice it?The text was updated successfully, but these errors were encountered: