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Final sub class segmentation 2 Computer Vision Project

jeddah university

Updated 2 months ago

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Object Detection Model snap
Classes (25)
'
Apical lesion
Buccoangular Impacted tooth
Calculus
Cystic lesion
Distoangular Impacted tooth
Fractured crown
Furcation lesion
Horizontal Impacted tooth
Horizontal bone loss
Hypercementosis
Impacted tooth
Inverted Impacted tooth
Lesion
Mesioangular Impacted tooth
Periodontal bone loss
Root
Root fracture
Signs of bone structure disorder
Signs of caries
Signs of secondary caries
Vertical Impacted tooth
Vertical bone loss
]
remaining root

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Description

Here are a few use cases for this project:

  1. Dental Health Assessment: Dentists can use the "ttth" model to analyze the x-rays of their patients' teeth. The system could identify signs of caries, bone loss, root fractures, and other dental issues, allowing for faster and more accurate diagnosis and treatment plans.

  2. Dental Education: Dental schools can use this model as a teaching tool for students to study and understand various dental issues and their appearances in x-rays. It can also be used for online learning platforms offering courses in dental health.

  3. Dental Research: Researchers studying oral health, dental diseases, and treatments could use the model to analyze large datasets of dental x-rays, making their research more efficient.

  4. Dental Insurance: Insurance companies could use the model to analyze dental x-rays when processing claims. The system could more accurately validate the dental issues and treatments claimed, reducing the chance of fraudulent claims.

  5. Healthcare App: A healthcare app could integrate the model to enable users to do at-home preliminary dental checkups using x-ray images. The app could then recommend a dentist visit if necessary.

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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{
                            final-sub-class-segmentation-2_dataset,
                            title = { Final sub class segmentation 2 Dataset },
                            type = { Open Source Dataset },
                            author = { jeddah university },
                            howpublished = { \url{ https://universe.roboflow.com/jeddah-university-hl2ib/final-sub-class-segmentation-2 } },
                            url = { https://universe.roboflow.com/jeddah-university-hl2ib/final-sub-class-segmentation-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-12-22 },
                            }

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