Team Algoritmi's OSS Challenge Approaches

Team Algoritmi's attempts at the Open Suturing Skills Challenge.

Transforming Surgical Skills Through Innovation and Precision.

             

Technologies Used

               

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Table of Contents

• Overview
• Versions attended

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Overview

Suturing_Challenge_Approach is a comprehensive developer toolkit designed for the development and evaluation of surgical automation and medical imaging models. Key features:

• 🦄🚀 Rapid Deployment: Pre-trained models (InceptionV3, ResNet50, YOLO, U-Net) for fast setup in computer vision tasks.
• 🎯 Automated Evaluation: Scripts for performance assessment, data processing, and efficient model benchmarking.
• 🔧🔬 Modular Data Pipelines: Flexible pipelines for video and image analysis workflows.
• 📦 Model Checkpoints: Organized checkpoints ensure reproducibility and efficient deployment.
• 🌐🔒 Open-Source Collaboration: Clear licensing and structured architecture foster open innovation.

Versions attended:

• 2024, which achieved the 4^th place in task 1.
  Code here
• 2025, which achieved the 4^th place in task 1, 🥈2^nd place in task 2 and 🥉3^rd place in task 3.
  Code here

If you find our work useful, please consider to ⭐️ star and 📝cite this repository.

@misc{TiagoJesus_OSS25,
  author = {Tiago Jesus},
  title = {Suturing_Challenge_Approach},
  year = {2025},
  publisher = {GitHub},
  url = {https://github.com/trajesus/Suturing_Challenge_Approach},
}