This program trains African AI experts in medical imaging to train others, using case-based learning approach and collective intelligence from various related fields (radiology, medical physics, computer science, neurology/neurosurgery, and oncology) to rapidly turn Al knowledge into action.
# Sprint AI Training for African Medical Imaging Knowledge Translation (SPARK) Academy
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## 🚀 Overview
This repository serves as my personal workspace and deliverable tracker for the **2026 SPARK Academy**. It contains my contributions to the **MICCAI BraTS Challenge** and documents my journey through medical imaging knowledge translation.
For official program details, visit the SPARK Event Website.
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## 🧠 About SPARK
The **SPARK Academy** is a MICCAI-endorsed program designed to train African AI experts in medical imaging. It uses a collective intelligence approach—combining radiology, neurology, and computer science—to turn AI knowledge into practical action, specifically focusing on **glioma brain tumor segmentation**.
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## 📅 Weekly Deliverables
I am documenting my progress and technical outputs on a weekly basis.
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## 🛠 Technical Focus
As a student in this cohort, my work focuses on:
* **Medical Imaging AI:** Implementing state-of-the-art segmentation models.
* **Knowledge Translation:** Bridging the gap between AI theory and clinical utility in Africa.
* **Interdisciplinary Research:** Collaborating at the intersection of neuroscience and machine learning.
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## 🔗 Quick Links
* **Event Portal:** FourWaves SPARK
* **Organization:** MICCAI Society
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*Maintained by Angelic Charles | SPARK Academy 2026 Research Cohort*