Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms.
The analysis of cell characteristics from high-resolution digital histopathological images is the standard clinical practice for the diagnosis and prognosis of cancer. Yet, it is a rather exhausting process for pathologists to examine the cellular structures manually in this way. Automating this ted...
| Published in: | Medical & Biological Engineering & Computing Vol. 57; no. 3; pp. 653 - 666 |
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| Main Authors: | , |
| Format: | Journal Article |
| Published: |
Springer Nature
Mar2019
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| Online Access: | View this record in EBSCOhost |