Publications by authors named "Lise Minaud"
Article Synopsis
- Abnormal tau protein accumulation into neurofibrillary tangles (NFTs) is a key feature of Alzheimer's disease, and accurately detecting these tangles in tissue samples is important for understanding their relationship with various clinical factors.
- The study introduces a scalable, open-source deep-learning method that can efficiently quantify NFT burden in digital images of post-mortem human brain tissue, overcoming the limitations of manual analysis, like time consumption and variability.
- The trained segmentation model demonstrated strong performance in identifying NFTs at a high level of detail, correlating well with expert scores and significantly improving the speed and accuracy of analysis compared to traditional methods.
