calcifications-model Computer Vision Project

univalle

Updated 2 years ago

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benigno
maligno

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

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Cite This Project

LICENSE
Public Domain

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 2025-04-30 },
                            }
                        
                    

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