[IEEE Transactions on Medical Imaging/TMI] This repo is the official implementation of "LViT: Language meets Vision Transformer in Medical Image Segmentation"
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How to match the images of the MosMedData+ dataset with its text annotations? #29
Hello. Thank you very much for sharing the text annotation of MosMedData+Dataset. But I am confused about how to match the images of the dataset with text annotations.
Specifically, there are several types of image naming in your text annotation: 'bjorke' X ',' Jun Coronacases CaseX ',' Jun Radiopaedia X ',' Morozov Study X '.
From my guess, 'bjorke' X ' may corresponds to' COVID-19 CT segmentation dataset ', while' Jun ' Coronacases CaseX 'and' Jun Radiopaedia X ' may corresponds to' COVID-19-CT-Seg_ 20 cases'. then which image data does 'morozov study ' correspond to?
I'm sorry for being confused about this. Can you provide detailed instructions on how to match them?
Hello. Thank you very much for sharing the text annotation of MosMedData+Dataset. But I am confused about how to match the images of the dataset with text annotations. Specifically, there are several types of image naming in your text annotation: 'bjorke' X ',' Jun Coronacases CaseX ',' Jun Radiopaedia X ',' Morozov Study X '. From my guess, 'bjorke' X ' may corresponds to' COVID-19 CT segmentation dataset ', while' Jun ' Coronacases CaseX 'and' Jun Radiopaedia X ' may corresponds to' COVID-19-CT-Seg_ 20 cases'. then which image data does 'morozov study ' correspond to? I'm sorry for being confused about this. Can you provide detailed instructions on how to match them?