NFT and NT in Alzheimer's Computer Vision Project

Neurofibrillary tangles and neuritic plaques in Alzheimers

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Description

The neuropathological diagnosis of tauopathies, such as Alzheimer’s disease, requires the presence of neurofibrillary tangles (NFTs) and neuropil threads (NTs), where the tau protein is inappropriately hyperphosphorylated and clustered into filaments. The NFTs, also known as “ghost tangles," are seen as dense bundles that develop on the cell surface of affected neurons, signifying neuronal loss and disintegration. On the other hand, NTs are dendritic and axonal components carrying filamentous tau.

In this project task, I will accurately train Roboflow to detect neurofibrillary tangles (NFTs) and neuropil threads (NTs) in histopathology images as pathological hallmark features of neurodegenerative diseases, such as in Alzheimer's disease. Images used would be by silver staining, with the commonly used Bielschowsky, Gallyas, and/or Bodian stains. The magnification utilized will be 400x and 600x.

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CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            nft-and-nt-in-alzheimer-s_dataset,
                            title = { NFT and NT in Alzheimer's Dataset },
                            type = { Open Source Dataset },
                            author = { Neurofibrillary tangles and neuritic plaques in Alzheimers },
                            howpublished = { \url{ https://universe.roboflow.com/neurofibrillary-tangles-and-neuritic-plaques-in-alzheimers/nft-and-nt-in-alzheimer-s } },
                            url = { https://universe.roboflow.com/neurofibrillary-tangles-and-neuritic-plaques-in-alzheimers/nft-and-nt-in-alzheimer-s },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2025-01-05 },
                            }