Triplet Detection in Laparoscopy Videos

Repository under construction

Introduction

A brief overview of the project. Explain the purpose, goals, and main features of the project.

Authors and Affiliation

• Karen Sanchez, Carlos Hinojosa, Shuming Liu, Mustafa Albahrani, Chen Zhao, Bernard Ghanem. Affiliation: KAUST: King Abdullah University of Science and Technology Email: karen.sanchez, carlos.hinojosa, (@kaust.edu.sa)

Installation

Instructions to set up the environment and dependencies.

Usage

Step-by-step instructions on how to run the code.

Datasets

Information about the datasets used in the project. Include links to download the datasets if they are publicly available.

Dataset	Download Link
CholecT50	Enlace de descarga
Cholec80	Enlace de descarga

Results

Description of the results obtained from running the code. Include relevant metrics and performance indicators.

Figures

Include important figures generated by the project. Provide descriptions for each figure.

![Figure 1: Proposed method of triplet detection](images/figure1.png)
![Figure 2: Performance comparison](images/figure2.png)

Description of Figure 1. Description of Figure 2.

Citing this Project

If you use this code in your research, please cite:

@misc{your_last_name2024triplet,
  author = {Your First Name Last Name and Co-author First Name Last Name},
  title = {Triplet Detection in Laparoscopy Videos},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/yourusername/Triplet-Detection-Laparoscopy}},
}

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

Acknowledge any person, institution, or funding source that supported the project.