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---
datasets:
- name: Anterior Cervical Discectomy Dataset (ACD)
- description: "A high-quality dataset for AI model development in Anterior Cervical Discectomy (ACD), featuring clinical, imaging, and surgical data to advance research in automated image analysis, surgical planning, and outcome prediction."
- license: "Apache 2.0"
- tags:
- medical-imaging
- spine-surgery
- segmentation
- surgical-planning
- AI-healthcare
- languages:
- en
---
## 🎯 **Anterior Cervical Discectomy Dataset (ACD)**
## 🎯 **Overview**
The **Anterior Cervical Discectomy (ACD) Dataset** is designed for research in AI applications for spine surgery.
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## 📊 **Dataset Summary**
| **Feature** | **Details** |
|---------------------------|-----------------------------------------------|
| 🏥 **Clinical Data** | 1200 patient records with demographic, medical, and surgical history. |
| 🧠 **Imaging Data** | PatHS to High-resolution CT and MRI scans across pre-operative, intra-operative, and post-operative stages. |
| 🎯 **Annotations** | Paths to synthetic segmentations for spinal structures and annotations by expert spine surgeons. |
| ⚙️ **Surgical Data** | Surgical approach, implant type, disc herniation level, and follow-up notes. |
| 📂 **File Formats** | Metadata in CSV and imaging data in simulated NIfTI paths. |
---
## 💡 **Features**
### **1. Clinical Data**
- Patient demographics: Age, sex, weight, height.
- Medical history: Comorbidities, previous surgeries.
- Surgical details: Approach, level of disc herniation, implant type.
### **2. Imaging Data**
- Modalities: CT and MRI.
- Imaging protocols: T1-weighted, T2-weighted, and T2-FLAIR.
- Scan stages: Pre-operative, intra-operative, post-operative.
- Scanner metadata: Manufacturer and model.
### **3. Surgical and Post-Operative Data**
- Disc degeneration grade, spinal stenosis, and herniation presence.
- Surgical outcome classification: Successful or with complications.
- Follow-up notes summarizing patient recovery or issues.
---
## 🔍 **Usage**
This dataset is suitable for:
- **Automated Segmentation:** Efficient segmentation of vertebrae, discs, and spinal structures.
- **Disease Classification:** Detection of disc herniation, spinal stenosis, and degeneration.
- **Outcome Prediction:** Prediction of post-operative success and complications.
---
## 🛠️ **File Organization**
- **Main CSV:** Contains metadata for all patient cases.
- **Synthetic Images:** Simulated paths for pre-operative, intra-operative, and post-operative scans.
- **Annotations:** Placeholder paths for potential spinal structure segmentations.
---
## 🎨 **Visual Example**
Below is an example row from the dataset:
| **Feature** | **Example Value** |
|--------------------------|----------------------------------------------|
| Patient_ID | `P0001` |
| Age | `45` |
| Imaging Modality | `MRI` |
| Disc Degeneration Grade | `Moderate` |
| Spinal Stenosis | `Yes` |
| Surgical Outcome | `Successful` |
| Pre_Op_Image_Path | `/simulated/path/P0001_pre_op_image.nii` |
---
## 📜 **Citation**
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## 💬 **Contact**
For inquiries, contact the dataset maintainer:
📧 **A Taylor @ hf.co/taylor658**
---
## 🔒 **Licensing**
This dataset is licensed under **Apache 2.0**
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