Mendeley-dataset Computer Vision Project

Projet2

Updated 2 years ago

72

views

2

downloads
Classes (2)
Abnormal
Normal

Metrics

Try This Model
Drop an image or
Description

Here are a few use cases for this project:

  1. Medical Diagnostics: This model can be used in the healthcare industry to provide high-speed automated analysis of pathology slides, determining whether cells are normal or abnormal, and assisting in diagnosis of various diseases such as cancer.

  2. Scientific Research: Researchers studying cell biology or genetics can use this AI model for their studies on cellular abnormalities and diseases. This can accelerate the onset of breakthroughs in medical science.

  3. Pharmaceutical Applications: Pharmaceutical companies can use this model in drug discovery and development process. By identifying how different medications affect normal and abnormal cells, they can speed up and enhance their research.

  4. Educational Tool: This AI model could serve as a rich educational tool in courses related to biology, medicine and health sciences, helping students to visualize and understand differences between normal and abnormal cells.

  5. Personalized Medicine: This model can be used to analyze patients' cells to create personalized treatment plans. Understanding an individual's cellular structure could help healthcare professionals tailor treatments to the patient's specific needs.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            mendeley-dataset-0cl0l_dataset,
                            title = { Mendeley-dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Projet2 },
                            howpublished = { \url{ https://universe.roboflow.com/projet2/mendeley-dataset-0cl0l } },
                            url = { https://universe.roboflow.com/projet2/mendeley-dataset-0cl0l },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-21 },
                            }