Automatic Watershed Segmentation of Cancerous Lesions in Unsupervised Breast Histology Images
Segmentation of nuclei in histology images is key in analyzing and quantifying morphology changes of nuclei features and tissue structures. Conventional diagnosis, segmenting, and detection methods have relied heavily on the manual-visual inspection of histology images. These methods are only effect...
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Main Authors: | , |
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Format: | Article |
Language: | English |
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MDPI AG
2024-11-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/14/22/10394 |
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