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task_categories: |
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- feature-extraction |
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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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**Only HBP Modality** |
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HBP is an MRI sequence based on hepatobiliary-specific contrast agents, which is the most advantageous sequence for detecting and evaluating intrahepatic lesions. |
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Therefore, in our current work, we only use HBP modality and have currently anonymized and disclosed only the HBP modality. |
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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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**Future** |
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The MRI images of the other modalities(such as PVP, AP and so on) will be continuously updated... |
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