Glioblastoma Multiforme Computer Vision Project

Jeya Kirl Villena

Updated 9 months ago

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Description

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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LICENSE

CC BY 4.0

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 2025-02-16 },
                            }

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