Better Together: Combining Different Handwriting Input Sources Improves Dementia Screening

Author:

Hosseini-Kivanani Nina1,Salobrar-García Elena2,Elvira-Hurtado Lorena2,López-Cuenca Inés2,de Hoz Rosa2,Ramírez José M.2,Gil Pedro3,Salas Mario3,Schommer Christoph1,Leiva Luis A.1

Affiliation:

1. University of Luxembourg,Luxembourg

2. Ramon Castroviejo Institute of Ophthalmologic Research, Universidad Complutense of Madrid,Spain

3. Memory Unit, Geriatrics Service, Hospital Clínico San Carlos,Madrid,Spain

Publisher

IEEE

Reference27 articles.

1. Multi-modal deep learning models for early detection of Alzheimer's disease stage;venugopalan;Scientific Reports,2021

2. Image Quality Assessment: From Error Visibility to Structural Similarity

3. Recent advances and clinical applications of deep learning in medical image analysis;chen;Medical Image Analysis,2022

4. Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation;nguyen;2018 IEEE International Symposium on Circuits and Systems (ISCAS),0

5. A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor

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1. The Magic Number: Impact of Sample Size for Dementia Screening Using Transfer Learning and Data Augmentation of Clock Drawing Test Images;2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom);2023-12-15

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