A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images.
This paper addresses the task of nuclei segmentation in high-resolution histopathology images. We propose an automatic end-to-end deep neural network algorithm for segmentation of individual nuclei. A nucleus-boundary model is introduced to predict nuclei and their boundaries simultaneously using a...
| Published in: | Medical & Biological Engineering & Computing Vol. 57; no. 9; pp. 2027 - 2044 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Sep2019
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| Online Access: | View this record in EBSCOhost |