Papanicolaou Computer Vision Project

IKEDA

Updated a year ago

46

views

5

downloads
Classes (14)
A549
ACC-MESO-1
DU145
HMMME
HSC-39
HSC-4
HeLa
K562
KYSE30
MCF7
MKN45
OVK18
TE-8
THP-1

Metrics

Try This Model
Drop an image or
Description

Here are a few use cases for this project:

  1. Biomedical Research: The Papanicolaou model can be used by researchers to automate the process of identifying different cell cultures. This could prove instrumental in studies related to cellular behavior, disease progression or therapeutic response.

  2. Clinical Diagnostics: In diagnostic laboratories, the model can assist pathologists by rapidly and accurately identifying cell cultures. This could greatly improve efficiency and precision in diseases diagnosis, like cancer.

  3. Drug Discovery and Development: In pharmaceutical research, this model can be deployed to monitor how different cell cultures respond to drug candidates, helping to quickly identify the most promising drugs for further testing.

  4. Precision Medicine: The model could be used to identify patient-specific cell cultures for personalized treatment plans. It can aid in understanding an individual's unique cellular response, contributing to precision medicine strategies.

  5. Education: It can serve as a powerful tool for teaching purposes. Students studying cellular biology, histology, or advanced science can utilize the model to better understand and identify different cell-culture classes. This can enhance learning outcomes by providing a hands-on, practical tool for education.

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{
                            papanicolaou_dataset,
                            title = { Papanicolaou Dataset },
                            type = { Open Source Dataset },
                            author = { IKEDA },
                            howpublished = { \url{ https://universe.roboflow.com/ikeda/papanicolaou } },
                            url = { https://universe.roboflow.com/ikeda/papanicolaou },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-11-27 },
                            }
                        
                    

Similar Projects

See More