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|Quasi-supervised learning on DNA regions in colon cancer histology slides
|Köktürk, Başak Esin
|Institute of Electrical and Electronics Engineers Inc.
|Signal Processing and Communications Applications Conference
|The aim of this study, nuclei base automatic detection of cancerous regions via determination of DNA-rich regions in high definition histology images. In the study; DNA-rich regions were determined using k-means clustering and some mathematical morphology operations, the diseased regions were diagnosed using morphological characteristics via quasi-supervised learning. It's observed that quasi-supervised learning method successfully separates cancerous chromatin regions from others successfully with experiments of colon cross-section histology images.
|21st Signal Processing and Communications Applications Conference (SIU)
|Appears in Collections:
|WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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checked on Feb 26, 2024
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