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A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies
Gleason grading, a risk stratification method for prostate cancer, is subjective and dependent on experience and expertise of the reporting pathologist. Deep Learning (DL) systems have shown promise in enhancing the objectivity and efficiency of Gleason grading. However, DL networks exhibit domain s...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888647/ https://www.ncbi.nlm.nih.gov/pubmed/35233002 http://dx.doi.org/10.1038/s41598-022-07217-0 |