OVARIAN CANCER BIOPSY ANALYSIS Computer Vision Project
SWU PHINMA SOM
Updated 9 months ago
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Classes (28)
Cell
Endometrioid carcinoma
Endometrioid tumor
Endometrioid-carcinoma
FIGO Grade I
FIGO Grade II
Germ
TERATOMA
Tumor Unlabeled
carcinoma
clear cell adenocarcinoma
clear cell carcinoma
clear-cell-carcinoma
endometrioid carcinoma
germ cell carcinoma
germ cell tumor
mucinous
mucinous carcinoma
mucinuous carcinoma
ovarian cancer
ovarian carcinoma
prominent squamous differentiation with keratinization
serous
serous carcinoma
small cell carcinoma
small-cell-carcinoma
stromal-tumor
Metrics
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Description
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.
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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{
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 2025-02-16 },
}