OVARIAN CANCER BIOPSY ANALYSIS Computer Vision Project
This is an AI laboratory project by Linette Dannah Cartagena, a second year medical student. Ovarian cancer can be classified into four main types: epithelial tumors, germ cell tumors, stromal tumors, and small cell carcinoma of the ovary. This model aims to recognize each type through AI. All one has to do is to simply by upload a photo of the histological slide.
Trained Model API
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{
ovarian-cancer-biopsy-analysis_dataset,
title = { OVARIAN CANCER BIOPSY ANALYSIS Dataset },
type = { Open Source Dataset },
author = { SWU PHINMA SOM },
howpublished = { \url{ https://universe.roboflow.com/swu-phinma-som/ovarian-cancer-biopsy-analysis } },
url = { https://universe.roboflow.com/swu-phinma-som/ovarian-cancer-biopsy-analysis },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-06-09 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the OVARIAN CANCER BIOPSY ANALYSIS project in your project.
Source
Last Updated
19 days ago
Project Type
Classification
Subject
ovarian-tissue-biopsy
Views: 27
Downloads: 3
