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A diagnostic method for Alzheimer's disease based on multimodal CoT reasoning and self-refine

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🧠 MDCOT: Medical Diagnosis Chain-of-Thought with Self-Diagnostic Refinement

📊 Framework Overview

This repository contains the open-source implementation of MDCOT (Medical Diagnosis Chain-of-Thought with Self-Diagnostic Refinement), a novel framework for Alzheimer's disease diagnosis using multimodal large language models (MLLMs).

By leveraging a Multimodal AD Diagnostic Chain-of-Thought and a Self-Diagnostic Refinement module, MDCOT achieves more accurate and interpretable diagnostic reasoning.

🚀 Getting Started

🛠️ Requirements

  • 🐍 Python 3.8+
  • 📦 Other dependencies (see requirements.txt)

📦 Installation

git clone https://github.com/lul0308/MDCoT.git
cd MDCoT
pip install -r requirements.txt

📁 Data Preparation

📥 Download the dataset from here and extract it to the dataset folder.

🧪 Evaluation

python code/main.py

📈 Model Performance

💬 Contact

📧 Please create Github issues here or email Chunlin Lu or Yongheng Zhang or Peng Wang or Libo Qin if you have any questions or suggestions.

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