Image decomposition-based sparse extreme pixel-level feature detection model with application to medical images
| Autor: | Ben Wang, Zhen Qian, Chuck Zhang, Xiaowei Yue, Hao Yan, Geet Lahoti, Jialei Chen, Chitta Ranjan |
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| Rok vydání: | 2021 |
| Předmět: |
Pixel
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Public Health Environmental and Occupational Health Pattern recognition Image segmentation Manufacturing systems Image (mathematics) Task (project management) Medical imaging Decomposition (computer science) Artificial intelligence Safety Risk Reliability and Quality business Safety Research Feature detection (computer vision) |
| Zdroj: | IISE Transactions on Healthcare Systems Engineering. :1-17 |
| ISSN: | 2472-5587 2472-5579 |
| Popis: | Pixel-level feature detection from images is an essential but challenging task encountered in domains such as detecting defects in manufacturing systems and detecting tumors in medical imaging. Oft... |
| Databáze: | OpenAIRE |
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