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Automated Cancer Diagnostics via Analysis of Optical and Chemical Images by Deep and Shallow Learning
Optical microscopy has long been the gold standard to analyse tissue samples for the diagnostics of various diseases, such as cancer. The current diagnostic workflow is time-consuming and labour-intensive, and manual annotation by a qualified pathologist is needed. With the ever-increasing number of...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143055/ https://www.ncbi.nlm.nih.gov/pubmed/35629959 http://dx.doi.org/10.3390/metabo12050455 |