Fast and accurate automated recognition of the dominant cells from fecal images based on Faster R-CNN
Abstract Fecal samples can easily be collected and are representative of a person’s current health state; therefore, the demand for routine fecal examination has increased sharply. However, manual operation may pollute the samples, and low efficiency limits the general examination speed; therefore,...
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Autores principales: | , , , , , , , , |
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Formato: | article |
Lenguaje: | EN |
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Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/95c125c38d2d43c6b0dde166b82e2915 |
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