Name
Abstract | ||
|---|---|---|
Extracting data from pictures of medical records is a common task in the insurance industry as the patients often send their medical invoices taken by smartphone cameras. However, the overall process is still challenging to be fully automated because of low image quality and variation of templates that exist in the status quo. In this paper, we propose a mixed-initiative pipeline for extracting da... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/PacificVis52677.2021.00022 | 2021 IEEE 14th Pacific Visualization Symposium (PacificVis) |
Keywords | DocType | ISSN |
Industries,Image quality,Pipelines,Insurance,Predictive models,Data mining,Task analysis | Conference | 2165-8765 |
ISBN | Citations | PageRank |
978-1-6654-3931-2 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seokweon Jung | 1 | 0 | 1.01 |
| Kiroong Choe | 2 | 0 | 1.01 |
| Seokhyeon Park | 3 | 0 | 0.68 |
| Hyung-Kwon Ko | 4 | 0 | 0.34 |
| Youngtaek Kim | 5 | 2 | 1.06 |
| Jinwook Seo | 6 | 586 | 52.89 |