test3 Computer Vision Project

Ani Gabrielyan

Updated 2 years ago

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Classes (15)
A Ectopic Pregnancy Site
A Fallopian Tube
A Mesosalpinx
A Ovary
B Ectopic Pregnancy Site
B Fallopian Tube
B Mesosalpinx
B Ovary
Ectopic contents
Maryland dissector
Needle driver
Salpingostomy
Scissors Tool
Uterus
Description

Here are a few use cases for this project:

  1. Medical Training and Education: "test3" can be used to create interactive educational materials, helping medical students and professionals learn and identify anatomy and surgical instruments associated with gynecologic surgery or procedures involving the female reproductive system.

  2. Assisting in Diagnosis: The model can aid medical professionals in diagnosing conditions related to the female reproductive system, such as ectopic pregnancies, by distinguishing between normal and abnormal anatomical structures in medical images.

  3. Surgical Planning and Navigation: During surgeries involving the female reproductive system, the "test3" computer vision model can help surgeons to accurately identify and differentiate between various anatomical structures, and surgical tools, improving the precision and safety of the procedures.

  4. Virtual Reality Simulation: "test3" can be incorporated into virtual reality (VR) simulations for training purposes, enabling medical professionals to practice and hone their skills in real-life surgical scenarios without the risk of harming patients.

  5. Development of Robotic-Assisted Surgery: The computer vision model can be integrated into robotic surgical systems, allowing them to accurately recognize and handle different surgical tools and anatomical structures, thus improving the safety and efficiency of minimally invasive surgeries involving the female reproductive system.

Supervision

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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{
                            test3-xkmrg_dataset,
                            title = { test3 Dataset },
                            type = { Open Source Dataset },
                            author = { Ani Gabrielyan },
                            howpublished = { \url{ https://universe.roboflow.com/ani-gabrielyan/test3-xkmrg } },
                            url = { https://universe.roboflow.com/ani-gabrielyan/test3-xkmrg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-24 },
                            }
                        
                    

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