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README.md

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-license: apache-2.0
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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. With a comprehensive collection of real-world and simulated clinical data, this dataset supports tasks such as automated segmentation, disease detection, surgical planning, and outcome prediction.
+
+---
+
+## 📊 **Dataset Summary**
+| **Feature**               | **Details**                                   |
+|---------------------------|-----------------------------------------------|
+| 🏥 **Clinical Data**       | 1200 patient records with demographic, medical, and surgical history. |
+| 🧠 **Imaging Data**        | 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**
+If you use this dataset, please cite it as follows:
+
+---
+
+## 💬 **Contact**
+For inquiries, contact the dataset maintainer:  
+📧 **A Taylor**  
+
+
+---
+
+## 🔒 **Licensing**
+This dataset is licensed under **Apache 2.0**