Cath2 Object Detection Dataset and Pre-Trained Model by CatheterProject

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Explore Dataset

Here are a few use cases for this project:

Medical Training: The Cath2 model can be used as a teaching tool for medical students and healthcare professionals. It can help in understanding the different parts of a catheter, their precise positioning, and how they appear on x-ray scans.
Automated Catheter Analysis: Cath2 could be integrated into the imaging systems within hospitals and clinics to automate the identification and verification of catheter placement in real-time. This could increase efficiency and reduce risks associated with inappropriate placement.
Research Studies: Researchers studying the impact of various catheterization techniques or the influence of the catheter parts on patient outcomes can use Cath2 to reliably and accurately identify catheter components in their imaging datasets.
Diagnostic Assistance: Cath2 can help radiologists by automatically highlighting and labeling the different parts of the catheter in the x-ray images they review, potentially reducing the time taken for diagnosis or consultation.
Quality Assurance in Manufacturing: The Cath2 model could be used to identify and classify catheter parts during the manufacturing process, ensuring that they meet specified standards and detecting any inconsistencies early in the production line.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            cath2_dataset,
                            title = { Cath2 Dataset },
                            type = { Open Source Dataset },
                            author = { CatheterProject },
                            howpublished = { \url{ https://universe.roboflow.com/catheterproject/cath2 } },
                            url = { https://universe.roboflow.com/catheterproject/cath2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-05-08 },
                            }