task_categories:feature-extraction region:us
---
task_categories:
- feature-extraction
---
This is the official dataset(HCC) of "Interpretable 2.5D Network by Hierarchical Attention and Consistency Learning for 3D MRI Classification" .

**Detailed Information**

HCC: which is a private dataset collected from the West China Hospital,
and is a prospective trial aim to validate the effectiveness of MRI images for
predicting Microvascular Invasion(MVI) in patients with Hepatocellular Carci-
noma. This dataset totally consists of 246 patients, including 110 patients with
MVI and 136 ones without MVI. 

**Only HBP Modality**

HBP is an MRI sequence based on hepatobiliary-specific contrast agents, which is the most advantageous sequence for detecting and evaluating intrahepatic lesions.
Therefore, in our current work, we only use HBP modality and have currently anonymized and disclosed only the HBP modality.

**How to use data?**
1. Download 'img.zip'
2. read '{patient_number}_{label}.nii.gz' and generate labels

**Future**

The MRI images of the other modalities(such as PVP, AP and so on) will be continuously updated...

