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Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images
Automated detection and segmentation of nuclei from high-resolution histopathological images is a challenging problem owing to the size and complexity of digitized histopathologic images. In the context of breast cancer, the modified Bloom–Richardson Grading system is highly correlated with the morp...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6368488/ https://ncbi.nlm.nih.gov/pubmed/30840729 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.1.017501 |
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