Abstract
Modern digital image processing hardware makes possible quantitative analysis of microscope images at high speed. This paper describes an application to automatic screening for cervical cancer. The system uses twelve MC6809 microprocessors arranged in a pipeline multiprocessor configuration. Each processor executes one part of the algorithm on each cell image as it passes through the pipeline. Each processor communicates with its upstream and downstream neighbors via shared two-port memory. Thus no time is devoted to input-output operations as such. This configuration is expected to be at least ten times faster than previous systems.
| Original language | English |
|---|---|
| Pages (from-to) | 8-11 |
| Number of pages | 4 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 516 |
| DOIs | |
| State | Published - 28 Feb 1985 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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