Cell segmentation and classification via unsupervised shape ranking
As histology patterns vary depending on different tissue types, it is typically necessary to adapt and optimize segmentation algorithms to these tissue type-specific applications. Here we present an unsupervised method that utilizes cell shape cues to achieve this task-specific optimization by intro...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2013
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