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🧠 MM-NeuroOnco Image Collection

GitHub License: Research Only

This repository hosts the MRI slice image collection and metadata used in the MM-NeuroOnco project.

MM-NeuroOnco is a large-scale multimodal benchmark and instruction dataset designed for clinically grounded MRI-based brain tumor diagnosis and interpretable reasoning.


πŸ“– Overview

Unlike traditional classification datasets, MM-NeuroOnco emphasizes clinically interpretable reasoning across MRI physics, anatomical localization, and tumor morphology.

Overview of MM-NeuroOnco
Figure 1: Overview of MM-NeuroOnco tasks and capabilities.


πŸ“Š Dataset Statistics

The dataset aggregates data from 20 publicly available sources and covers 8 tumor types.

Dataset Statistics
Figure 3: Distribution of tumor types and question diversity in the instruction dataset.


πŸ” Qualitative Examples

The dataset includes rich Chain-of-Thought (CoT) explanations and grounded diagnosis, supporting both open-ended and closed-ended VQA tasks.

VQA Examples
Figure 7: Sample cases showing model reasoning, attribute extraction, and diagnosis.


βš™οΈ Pipeline

Our fully reproducible multi-stage label construction pipeline ensures high-quality silver labels through a "Skeptic-Conservative" dual-model approach.

Pipeline
Figure 2: The three-stage pipeline: Extraction, Fusion, and Audit.


⚠️ Important: BraTS Data Restriction

Note: Due to licensing restrictions, BraTS 2021 imaging data are NOT redistributed in this repository.

Users must obtain the BraTS dataset independently:

  1. Register at the official BraTS 2021 website.
  2. Agree to the data usage terms.
  3. Download the data.

Directory Alignment: Once downloaded, the relevant BraTS images (typically in folders like 16_t1_t2_t1ce_flair_mask) must be placed into the appropriate directory structure to match the image_path fields in our JSON annotations.


πŸ“‚ Directory Structure

The directory structure in this repository mirrors the image_path entries defined in the official benchmark/instruction JSON files.

data_root/
β”œβ”€β”€ glioma/
β”‚   β”œβ”€β”€ sub-001/
β”‚   └── ...
β”œβ”€β”€ meningioma/
β”œβ”€β”€ ependymoma/
└── ...
For BraTS-related samples (once added by the user), the expected path format is: glioma/16_t1_t2_t1ce_flair_mask/...

πŸ“„ Files Included

1. Benchmark Data (Benchmark/ folder) πŸ†

  • Benchmark/Benchmark_VQA_Open.json: Open-ended VQA pairs for evaluation.
  • Benchmark/Benchmark_VQA_Closed.json: Closed-ended VQA pairs for evaluation.

2. Training Data (training/ folder) πŸš€

  • training/train_cot_closed.jsonl: Chain-of-Thought data for closed-ended tasks.
  • training/train_no_cot_closed.jsonl: Standard closed-ended QA pairs.
  • training/train_open.jsonl: Open-ended instruction tuning data.

3. Metadata Files (metadata/ folder) ℹ️

  • metadata/all_brain_tumor_metadata.json: Standard dataset-level index.
  • metadata/all_brain_tumor_metadata_rich.json: Extended metadata with radiological attributes.
  • metadata/Dataset_For_LLM_Step1.json: Pre-processed data used for inference steps.

4. Image Data (images/ folder) πŸ–ΌοΈ

  • images/Dataset.zip: Full dataset archive.
  • images/Benchmark_Images.zip: Evaluation set images only.

πŸ“œ License & Ethics

License Aggregated Data: The images are aggregated from multiple publicly available medical imaging datasets. Each subset follows the license of its original source.

BraTS Data: Subject to the license and terms provided by the BraTS organizers.

Usage: This collection is provided strictly for research and non-commercial purposes.

Ethical Statement This dataset contains de-identified medical imaging data.

It is intended solely for research in Medical AI and Multimodal Reasoning.

β›” It must NOT be used for clinical decision-making or diagnostic purposes.

πŸ“ Citation

If you use the MM-NeuroOnco dataset or benchmark, please cite our paper

πŸ” Access Terms and Conditions

By requesting access to this dataset, you agree to the following terms:

Research Only: Use the data strictly for academic and non-commercial research purposes.

Compliance: Comply with the original licenses of all source datasets.

No Redistribution: Do not redistribute any part of this dataset.

No Clinical Use: Do not use the data for clinical or diagnostic decision-making.

Citation: Properly cite MM-NeuroOnco in any derived work.

The authors reserve the right to deny access requests that do not comply with these conditions.

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