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A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning
Computer aided diagnosis (CAD) tools help radiologists to reduce diagnostic errors such as missing tumors and misdiagnosis. Vision researchers have been analyzing behaviors of radiologists during screening to understand how and why they miss tumors or misdiagnose. In this regard, eye-trackers have b...
שמור ב:
| הוצא לאור ב: | Med Image Anal |
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| Main Authors: | , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2018
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6407631/ https://ncbi.nlm.nih.gov/pubmed/30399507 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2018.10.010 |
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