Cath Object Detection Dataset and Pre-Trained Model by WCM

Images

529 images

Explore Dataset

Here are a few use cases for this project:

Healthcare Monitoring: "Cath" can be used in a real-time monitoring system within healthcare facilities. It can identify the position and type of a catheter tip in an x-ray, greatly helping healthcare professionals to assess the situation of patients having a lumbar puncture or spinal catheter implantation.
Medical Training: This model can be an excellent tool in medical education. It can help train medical students and residents to identify and locate different types of catheter tips in x-ray images. This may improve their diagnostic skills and speed.
Medical Diagnosis: "Cath" can be used in the diagnosis of possible complications associated with catheter placements. Early detection of catheter displacement can prevent further complications.
Medical Research: Researchers can utilize "Cath" to collect and analyze data related to specific catheter-tip types, their placement success rates, and their correlation with various patient outcomes in a large-scale population-based study.
Radiology Software Enhancement: Integration of "Cath" into existing radiology software could improve the overall functionality and efficiency. It could aid radiologists in identifying and classifying catheter tips more accurately and quickly, thereby reducing the workload and increasing productivity.

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{
                            cath_dataset,
                            title = { Cath Dataset },
                            type = { Open Source Dataset },
                            author = { WCM },
                            howpublished = { \url{ https://universe.roboflow.com/wcm/cath } },
                            url = { https://universe.roboflow.com/wcm/cath },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-08 },
                            }