détection Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Medical Diagnosis: The model can be used in hospitals and healthcare centres to identify polyps in various parts of the human body during medical imaging. Such applications could be life-saving by enabling early detection of potential health issues.
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Telemedicine & Remote Consultation: This model can be deployed in telemedicine platforms for real-time polyps detection, helping doctors provide remote consultations and diagnosis without immediate access to traditional, in-person medical imaging.
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Health Research & Studies: Scientific researchers can utilize this model to study the prevalence and features of different polyp classes in their work, expediting the process of analyzing large amounts of medical data.
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Virtual Training Simulations: The model can be incorporated in virtual reality (VR) simulations for educating and training students or professionals in the medical sector, bringing a new level of interactivity to the learning experience.
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AI-Integrated Medical Imaging Devices: This model can be integrated into endoscopy, colonoscopy, or similar imaging devices. With the help of AI, these devices can offer real-time detection of polyps and assist doctors during the procedure.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
detection-uwbg0_dataset,
title = { détection Dataset },
type = { Open Source Dataset },
author = { custom yolo v8 },
howpublished = { \url{ https://universe.roboflow.com/custom-yolo-v8-kieui/detection-uwbg0 } },
url = { https://universe.roboflow.com/custom-yolo-v8-kieui/detection-uwbg0 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2025-02-17 },
}