calcifications-model Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
-
Healthcare Research: Researchers can use the "calcifications-model" to analyze medical imaging datasets for studies on the occurrence, distribution, and patterns of benign and malignant calcifications, aiding in the understanding of disease progression and prediction models.
-
Radiology Departments: The model can assist radiologists in enhancing their diagnostic accuracy. It can automatically flag potential maligno-benign calcifications in patients' medical images, allowing radiologists to focus on complex cases.
-
Medical Education: It can be used as a teaching tool in medical schools. Students can apply the model to learn and understand the characteristics and visual differences between maligno and benigno calcifications.
-
Healthcare Software Development: Companies developing medical imaging software can utilize the model to add an automated benign-malign maligno calcification detection feature in their products to help radiologists and medical professionals improve efficiency and patient care.
-
Early Cancer Detection Screening: The model can be integrated into routine screening programs, particularly in breast and lung cancer screenings, to early identify malignant calcifications, this could lead to early treatment and potentially save lives.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
calcifications-model_dataset,
title = { calcifications-model Dataset },
type = { Open Source Dataset },
author = { univalle },
howpublished = { \url{ https://universe.roboflow.com/univalle/calcifications-model } },
url = { https://universe.roboflow.com/univalle/calcifications-model },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-18 },
}