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Segmentation of Overlapping Cervical Cells with Mask Region Convolutional Neural Network
The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix cytological analysis due to the presence of fuzzy and highly overlapping cells. Deep learning-based diagnostic technology has proven to be effective in segmenting complex medical images. We present a t...
Autores principales: | Chen, Jiajia, Zhang, Baocan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505098/ https://www.ncbi.nlm.nih.gov/pubmed/34646333 http://dx.doi.org/10.1155/2021/3890988 |
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