Southwestern University PHINMA

cSCC (PASCUA, JEAN D.)

Classification

cSCC (PASCUA, JEAN D.) Computer Vision Project

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5 images
Explore Dataset

This is an online repository for my General Pathology AI Project Task in Southwestern University PHINMA School of Medicine.

Topic: "Histopathology grading of cutaneous squamous cell carcinoma: well-differentiated; moderately-differentiated; poorly-differentiated."

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            cscc-pascua-jean-d._dataset,
                            title = { cSCC (PASCUA, JEAN D.) Dataset },
                            type = { Open Source Dataset },
                            author = { Southwestern University PHINMA },
                            howpublished = { \url{ https://universe.roboflow.com/southwestern-university-phinma-y8gqu/cscc-pascua-jean-d. } },
                            url = { https://universe.roboflow.com/southwestern-university-phinma-y8gqu/cscc-pascua-jean-d. },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-06-16 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the cSCC (PASCUA, JEAN D.) project in your project.

Last Updated

3 months ago

Project Type

Classification

Subject

histological-grading-of-cscc

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Downloads: 0

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License

Public Domain

Classes

Moderately differentiated (40x) Poorly-differentiated (40x) Well-differentiated (40x)