pneumothorax Computer Vision Project

Kathmandu University

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Medical Diagnosis: Healthcare professionals can use this model to assist in diagnosing pneumothorax from chest x-ray images, accelerating the fulfillment of medical reports, and improving the efficiency of healthcare services.

  2. Emergency Situations: In emergency departments, this model can be used to quickly identify potential pneumothorax cases, ensuring a rapid response which could potentially save lives.

  3. Telemedicine Services: The "pneumothorax" model could be incorporated into telemedicine platforms, providing preliminary diagnoses based on x-ray images and enabling remote consultations, particularly in rural or underserviced areas.

  4. Medical Training: The model could be used as a teaching tool for medical students or junior doctors to learn to identify pneumothorax in chest x-ray images, supplementing their theoretical knowledge with practical examples.

  5. Screening Programs: The model could be integrated into preventative screening programs, allowing for early detection of pneumothorax in at-risk populations, helping prevent complications and improving patient outcomes.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            pneumothorax-erugs_dataset,
                            title = { pneumothorax Dataset },
                            type = { Open Source Dataset },
                            author = { Kathmandu University },
                            howpublished = { \url{ https://universe.roboflow.com/kathmandu-university-hqa4p/pneumothorax-erugs } },
                            url = { https://universe.roboflow.com/kathmandu-university-hqa4p/pneumothorax-erugs },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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