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Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer’s Disease Diagnosis
In the field of computer-aided Alzheimer’s disease (AD) diagnosis, jointly identifying brain diseases and predicting clinical scores using magnetic resonance imaging (MRI) have attracted increasing attention since these two tasks are highly correlated. Most of existing joint learning approaches requ...
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| Pubblicato in: | IEEE Trans Biomed Eng |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6764421/ https://ncbi.nlm.nih.gov/pubmed/30222548 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2018.2869989 |
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