35 images

Malignant Solitary Fibrous Tumor Computer Vision Project

Southwestern University Phinma

Updated 7 months ago

views

downloads

Metrics

Try This Model

Drop an image or

browse your device

Description

Detection of Malignant Solitary Fibrous Tumor of Pleura: Features are:

Oval to spindle-shaped nuclei with minimal cytoplasm and intervening collagen bands arranged in patternless distribution with areas highly rich in tumor cells while other areas are more hypocellular with a higher percentage of stromal collagen. Usually, minimal nuclear atypia and mitotic figures are few in number
Poorly vascularized with fewer mitoses and uniformed, elongated spindle cells and variable amounts of collagen for smaller tumors
More pleomorphism and higher mitotic counts for larger tumors
Hemangiopericytic growth pattern due to pronounced vascularity “staghorn” blood vessels and perivascular sclerosis

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            malignant-solitary-fibrous-tumor_dataset,
                            title = { Malignant Solitary Fibrous Tumor Dataset },
                            type = { Open Source Dataset },
                            author = { Southwestern University Phinma },
                            howpublished = { \url{ https://universe.roboflow.com/southwestern-university-phinma-8qrct/malignant-solitary-fibrous-tumor } },
                            url = { https://universe.roboflow.com/southwestern-university-phinma-8qrct/malignant-solitary-fibrous-tumor },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-11-23 },
                            }