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@@ -4,11 +4,14 @@ task_categories:
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  ---
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  This is the official dataset(HCC) of "Interpretable 2.5D Network by Hierarchical Attention and Consistency Learning for 3D MRI Classification" .
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  HCC: which is a private dataset collected from the West China Hospital,
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  and is a prospective trial aim to validate the effectiveness of MRI images for
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  predicting Microvascular Invasion(MVI) in patients with Hepatocellular Carci-
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  noma. This dataset totally consists of 246 patients, including 110 patients with
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- MVI and 136 ones without MVI. Although MRI consists of multiple modalities,
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- based on clinical experience, only the Hepatobiliary Phase (HBP) modality is
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- selected for our experiment. Experts roughly outline the lesion on one slice of
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- the patient, and we extract a total of 20 upper and lower slices from it.
 
 
 
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  ---
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  This is the official dataset(HCC) of "Interpretable 2.5D Network by Hierarchical Attention and Consistency Learning for 3D MRI Classification" .
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+ **Detailed Information**
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  HCC: which is a private dataset collected from the West China Hospital,
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  and is a prospective trial aim to validate the effectiveness of MRI images for
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  predicting Microvascular Invasion(MVI) in patients with Hepatocellular Carci-
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  noma. This dataset totally consists of 246 patients, including 110 patients with
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+ MVI and 136 ones without MVI.
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+
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+ **how to use data?**
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+ 1. Download 'img.zip'
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+ 2. read '{patient_number}_{label}.nii.gz' and generate labels
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+