mygradution Computer Vision Project

Mohamed Rabie

Updated 13 days ago

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Classes (4)
Caries
Deep Caries
Impacted
Periapical Lesion

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Description

Here are a few use cases for this project:

  1. Dental Diagnosis Assistance: The "dentex" model could be utilized by dentists and health professionals to detect, evaluate, and monitor dental issues. By identifying issues such as caries, impacted teeth, deep caries, and periapical lesions, dentists could improve their diagnostic accuracy and treatment planning.

  2. Educational Tool for Dental Students: This model could serve as a valuable learning resource for dental students, providing visual examples and automatic identification of various classes of teeth conditions during practical dental anatomy lessons.

  3. Automated Dental Health Monitoring: Dental care companies could integrate "dentex" into their digital platforms to facilitate customer self-checks. People could take x-ray images of their teeth and get initial diagnostics, aiding in early detection of potential dental problems.

  4. Dental Insurance Claims Assessment: Insurance companies could use the model in the claim assessment process to validate the dental procedures reported by policyholders or dentists. The model could assess x-ray images attached to the claims and help identify whether reported procedures correspond to the condition identified.

  5. Development of Smart Dental Equipment: Manufacturers of dental imaging equipment could implement the "dentex" model to create smart devices capable of providing instant preliminary diagnostics along with x-ray imaging. This could potentially speed up the process for dentists and offer immediate insight into a patient's oral health.

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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{
                            mygradution_dataset,
                            title = { mygradution Dataset },
                            type = { Open Source Dataset },
                            author = { Mohamed Rabie },
                            howpublished = { \url{ https://universe.roboflow.com/mohamed-rabie/mygradution } },
                            url = { https://universe.roboflow.com/mohamed-rabie/mygradution },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { nov },
                            note = { visited on 2024-11-25 },
                            }
                        
                    

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