Joint shape matching for overlapping cytoplasm segmentation in cervical smear images
We present a novel and effective approach to segmenting overlapping cytoplasm of cells in cervical smear images. Instead of simply combining individual cytoplasm shape information with the intensity or color information for the segmentation, our approach aims at simultaneously matching an accurate s...
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Main Authors: | , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2019
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8563 |
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Institution: | Singapore Management University |
Language: | English |
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