lymph nodes Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Diagnostic Aid in Medical Imaging: Radiologists could use this model to identify and characterize lymph node tumors in CT scans, assisting in early detection and diagnosis of potential cancerous growths.
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Medical Research: Researchers might employ the model to study the characteristics and progressions of various types of lymph node tumors, towards producing more effective treatments and prevention strategies.
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Training Medical Students: This model could serve as an invaluable tool for training medical students or residents in radiology, allowing them to familiarize themselves with the appearance and location of different lymph nodes, as well as to recognize varied tumor classifications.
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Telemedicine: In remote or rural areas lacking immediate access to expert radiologists, this model can come handy as it assists primary care providers or mid-level practitioners in identifying lymph node tumors and making more effective referrals.
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Second Opinion: Patients with possible lymph node tumors might use the model as a 'second opinion' to verify diagnoses, ensuring there are no oversights in their scans.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
lymph-nodes_dataset,
title = { lymph nodes Dataset },
type = { Open Source Dataset },
author = { mansoura },
howpublished = { \url{ https://universe.roboflow.com/mansoura/lymph-nodes } },
url = { https://universe.roboflow.com/mansoura/lymph-nodes },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2024-11-23 },
}