Distinguishing Orthodontic Experts From Laypersons Through Gaze Analysis-Reference-Cited by-同舟云学术

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Distinguishing Orthodontic Experts From Laypersons Through Gaze Analysis

Published:2023 Issue: Volume:11 Page:44444-44453
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kamahara Junzo¹^ORCID,Nagamatsu Takashi¹,Ito Kyoko²,Hiroe Mamoru¹^ORCID,Sao Haruki¹,Aoyagi Saizo³^ORCID,Nagata Junko⁴,Takada Kenji⁵

Affiliation:

1. Graduate School of Maritime Sciences, Kobe University, Kobe, Japan

2. Faculty of Engineering, Kyoto Tachibana University, Kyoto, Japan

3. Faculty of Global Media Studies, Komazawa University, Tokyo, Japan

4. Faculty of Medicine, University of Miyazaki, Miyazaki, Japan

5. Ask-Prof Oral Health Consulting, Osaka, Japan

Funder

Japan Society for the Promotion of Science (JSPS) KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10113645.pdf?arnumber=10113645

Reference19 articles.

1. Scanpath comparison in medical image reading skills of dental students

2. Differentiating Surgeons’ Expertise solely by Eye Movement Features

3. LSTMs can distinguish dental expert saccade behavior with high ”plaque-urracy”

4. A novel machine learning analysis of eye-tracking data reveals suboptimal visual information extraction from facial stimuli in individuals with autism

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