Innovative Strategies for Early Autism Diagnosis: Active Learning and Domain Adaptation Optimization

Innovative Strategies for Early Autism Diagnosis: Active Learning and Domain Adaptation Optimization

The early diagnosis of autism spectrum disorder (ASD) encounters challenges stemming from domain variations in facial image datasets. This study investigates the potential of active learning, particularly uncertainty-based sampling, for domain adaptation in early ASD diagnosis. Our focus is on impro...

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Bibliographic Details
Main Authors: Mohammad Shafiul Alam, Elfatih A. A. Elsheikh, F. M. Suliman, Muhammad Mahbubur Rashid, Ahmed Rimaz Faizabadi
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Diagnostics
Subjects:
ASD
deep learning
facial images
active learning
domain adaptation
Online Access:https://www.mdpi.com/2075-4418/14/6/629

Internet

https://www.mdpi.com/2075-4418/14/6/629

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