Roboflow Universe Jeya Kirl Villena Glioblastoma Multiforme

Glioblastoma Multiforme Computer Vision Project

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Glioblastoma Multiforme Detection in Pathology Image

This project focuses on creating an AI-driven system tailored for the identification of Glioblastoma Multiforme (GBM) in pathology images. Utilizing Hematoxylin and Eosin (H&E) stain, a widely employed technique in pathology for comprehensive tissue examination, the system aims to enhance the detection of GBM. The objective is to furnish healthcare professionals with a sophisticated tool that ensures early and precise diagnosis, a pivotal factor in formulating effective treatment strategies for individuals with brain tumors.

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This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            glioblastoma-multiforme_dataset,
                            title = { Glioblastoma Multiforme  Dataset },
                            type = { Open Source Dataset },
                            author = { Jeya Kirl Villena },
                            howpublished = { \url{ https://universe.roboflow.com/jeya-kirl-villena/glioblastoma-multiforme } },
                            url = { https://universe.roboflow.com/jeya-kirl-villena/glioblastoma-multiforme },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-05-30 },
                            }