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AUTOMATED CELL COUNTING AND CLUSTER SEGMENTATION USING CONCAVITY DETECTION AND ELLIPSE FITTING TECHNIQUES
This paper presents a novel, fast and semi-automatic method for accurate cell cluster segmentation and cell counting of digital tissue image samples. In pathological conditions, complex cell clusters are a prominent feature in tissue samples. Segmentation of these clusters is a major challenge for d...
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| Pubblicato in: | Proc IEEE Int Symp Biomed Imaging |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2009
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5383093/ https://ncbi.nlm.nih.gov/pubmed/28392889 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2009.5193169 |
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