HIGHLIGHTS
- who: Daniela Carfora and collaborators from the , Evry, France, Descartes University, France have published the Article: On Extracting Digitized Spiral Dynamicsu2019 Representations: A Study on Transfer Learning for Early Alzheimeru2019s Detection, in the Journal: Bioengineering 2022, 9, 375. of /2022/
- what: This work proposes a decision-aid tool for detecting Alzheimer`s disease (AD) at an early stage based the Archimedes spiral executed a Wacom digitizer. The work assesses the potential of the task as a dynamic gesture and defines the most pertinent methodology for exploiting transfer learning to compensate for sparse data. The authors . . .
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