squamous-cell carcinoma-differentiated-type Computer Vision Project

Maybel Balansag

Updated 6 months ago

views

download

Metrics

Try This Model

Drop an image or

browse your device

Description

This AI project will focus on identifying lung cancer, specifically squamous cell lung carcinoma, in its well-differentiated tumors by detecting histologic features such as keratinization, 'keratin pearls,' and intercellular bridges. By recognizing these histological patterns, this project can contribute to the field of pathology by providing more accurate and timely diagnoses, as well as facilitating the easy recognition of this particular disease. Ultimately, this will benefit patients and healthcare professionals.

Use This Trained Model

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

Try In Browser Deploy Model

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{
                            squamous-cell-carcinoma-differentiated-type_dataset,
                            title = { squamous-cell carcinoma-differentiated-type Dataset },
                            type = { Open Source Dataset },
                            author = { Maybel Balansag },
                            howpublished = { \url{ https://universe.roboflow.com/maybel-balansag-er4hp/squamous-cell-carcinoma-differentiated-type } },
                            url = { https://universe.roboflow.com/maybel-balansag-er4hp/squamous-cell-carcinoma-differentiated-type },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-11-22 },
                            }