neutrophils Computer Vision Project

acevedo2

Updated a year ago

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Classes (8)
ba
eo
erb
ig
lym
mono neut platelet
Description

Here are a few use cases for this project:

  1. Medical Diagnostics: This model can aid doctors and medical technologists in improving the accuracy and speed of blood cell analysis, essential in diagnosing a wide range of medical conditions like infections, anemia, and blood cancers.

  2. Pathology Education: The model can be used in teaching settings for medical students, especially in the modules related to hematology. It can help to better understand different monocytes classes and hematological disorders.

  3. Clinical Research: Researchers can utilize this model when studying blood diseases or immune system responses, allowing them to more easily distinguish and count different types of cells in blood samples.

  4. Development of Automated Blood Analysis Systems: Companies developing automated systems for blood analysis could leverage this model to more accurately and swiftly sort and count different blood cells.

  5. Pharmaceutical Trials: During the drug development phase, pharmaceutical companies can apply this model to analyze the effect of potential drugs on blood cell count and differentiation, helping to assess the drug's efficacy and safety.

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{
                            neutrophils-f0pdz_dataset,
                            title = { neutrophils Dataset },
                            type = { Open Source Dataset },
                            author = { acevedo2 },
                            howpublished = { \url{ https://universe.roboflow.com/acevedo2/neutrophils-f0pdz } },
                            url = { https://universe.roboflow.com/acevedo2/neutrophils-f0pdz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-11-25 },
                            }