Title | ||
---|---|---|
An unsupervised region of interest extraction model for tau PET images and its application in the diagnosis of Alzheimer's disease. |
Abstract | ||
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GANCMLAE4TAU could detect individual ROIs for tau PET images and had the potential to be developed as a novel diagnostic tool in the future. Clinical Relevance- This method can find individual ROIs of tau depositions, so as to achieve more accurate diagnosis of Alzheimer's disease. |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/EMBC48229.2022.9871269 | Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
DocType | Volume | ISSN |
Conference | 2022 | 2694-0604 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rong Shi | 1 | 2 | 1.65 |
Luyao Wang | 2 | 2 | 2.40 |
Jiehui Jiang | 3 | 0 | 1.35 |