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Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features
Patient-Derived Xenografts (PDXs) are the preclinical models which best recapitulate inter- and intra-patient complexity of human breast malignancies, and are also emerging as useful tools to study the normal breast epithelium. However, data analysis generated with such models is often confounded by...
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| 出版年: | J Mammary Gland Biol Neoplasia |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer US
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8236058/ https://ncbi.nlm.nih.gov/pubmed/33999331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10911-021-09485-4 |
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