A Human-AI Collaborative System to Support Mitosis Assessment in Pathology-Reference-Cited by-同舟云学术

A Human-AI Collaborative System to Support Mitosis Assessment in Pathology

Published:2024-03-18 Issue: Volume: Page:58-61
ISSN:
Container-title:Companion Proceedings of the 29th International Conference on Intelligent User Interfaces
language:
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Author:

Yang Chunxu¹^ORCID,Haeri Mohammad²^ORCID,Magaki Shino³^ORCID,Zarrin-Khameh Neda⁴^ORCID,Gu Hongyan¹^ORCID,Chen Xiang 'Anthony'¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of California, Los Angeles, United States

2. Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, United States

3. Department of Pathology and Laboratory Medicine, UCLA David Geffen School of Medicine, United States

4. Department of Pathology & Immunology and Internal Medicine, Baylor College of Medicine and Ben Taub Hospital, United States

Funder

National Science Foundation

Office of Naval Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3640544.3645233

Reference25 articles.

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4. Murat Seckin Ayhan and Philipp Berens. 2022. Test-time data augmentation for estimation of heteroscedastic aleatoric uncertainty in deep neural networks. In Medical Imaging with Deep Learning.

5. Deep learning assisted mitotic counting for breast cancer