Alzheimer disease brain tissue Computer Vision Project

southwestern university

Updated 2 months ago

456

views

downloads

Metrics

Try This Model

Drop an image or

browse your device

Description

Amyloid plaques are aggregates of misfolded proteins that form in the spaces between nerve cells, these plagues are one of the central pathologies of Alzheimer's disease. Amyloid plaques form one of the two defining features of Alzheimer’s disease, the other being neurofibrillary tangles, Beta-amyloid is also thought to be responsible for the formation of these tangles, which again damage neurons and cause the symptoms of dementia.The presence of amyloid plaques or neurofibrillary tangles, support the a diagnosis of Alzheimer’s disease. This project focuses on identifying the presence of amyloid plaques or neurofibrillary tangle found in brain tissues, this indicate the presence of Alzheimers disease.

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{
                            alzheimer-disease-brain-tissue_dataset,
                            title = { Alzheimer disease brain tissue Dataset },
                            type = { Open Source Dataset },
                            author = { southwestern university },
                            howpublished = { \url{ https://universe.roboflow.com/southwestern-university-z35od/alzheimer-disease-brain-tissue } },
                            url = { https://universe.roboflow.com/southwestern-university-z35od/alzheimer-disease-brain-tissue },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-24 },
                            }