Understanding Design for Automated Image Analysis in Digital Pathology-Reference-Cited by-同舟云学术

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Understanding Design for Automated Image Analysis in Digital Pathology

Published:2016-10-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th Nordic Conference on Human-Computer Interaction
language:
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Author:

Molin Jesper¹,Woźniak Paweł W.²,Lundström Claes³,Treanor Darren⁴,Fjeld Morten⁵

Affiliation:

1. t2i Lab, Chalmers University of Technology, Gothenburg, Sweden and CMIV, Linköping University, Linköping, Sweden and Sectra AB, Linköping, Sweden

2. t2i Lab, Chalmers University of Technology, Gothenburg, Sweden and VIS, University of Stuttgart, Stuttgart, Germany

3. CMIV, Linköping University, Linköping, Sweden and Sectra AB, Linköping, Sweden

4. CMIV, Linköping University, Linköping, Sweden and Leeds Teaching Hospital NHS Trust Leeds, United Kingdom

5. t2i Lab, Chalmers University of Technology, Gothenburg, Sweden

Funder

Vetenskapsrådet

SimTech Cluster of Excellence

VINNOVA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2971485.2971561

Reference33 articles.

1. Use of computer-aided detection (CAD) tools in screening mammography: a multidisciplinary investigation

3. Ironies of automation

4. Activity-based computing for medical work in hospitals

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3. Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies;JAMA Network Open;2020-11-12

4. Survey of XAI in Digital Pathology;Artificial Intelligence and Machine Learning for Digital Pathology;2020

5. "Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making;Proceedings of the ACM on Human-Computer Interaction;2019-11-07

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