Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies-Reference-Cited by-同舟云学术

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Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies

Published:2024-06-03 Issue: Volume:23 Page:40-45
ISSN:
Container-title:2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)
language:
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Author:

Gu Hongyan¹,Yan Zihan²,Alvi Ayesha¹,Day Brandon¹,Yang Chunxu¹,Wu Zida¹,Magaki Shino³,Haeri Mohammad⁴,Chen Xiang ‘Anthony’¹

Affiliation:

1. University of California, Los Angeles,Electrical and Computer Engineering,Los Angeles,USA

2. University of Illinois, Urbana-Champaign,Informatics Programs,Urbana,USA

3. UCLA David Geffen School of Medicine,Pathology and Laboratory Medicine,Los Angeles,USA

4. Kansas University Medical Center,Pathology and Laboratory Medicine,Kansas City,USA

Funder

Office of Naval Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10628445/10628534/10628541.pdf?arnumber=10628541

Reference25 articles.

1. Artificial intelligence and computational pathology

2. Digital pathology and artificial intelligence

3. Annotating for Artificial Intelligence Applications in Digital Pathology: A Practical Guide for Pathologists and Researchers

4. Eye-Tracking Feature Extraction for Biometric Machine Learning

5. On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks

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