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NHL Pathological Image Classification Based on Hierarchical Local Information and GoogLeNet-Based Representations
BACKGROUND: Accurate classification for different non-Hodgkin lymphomas (NHL) is one of the main challenges in clinical pathological diagnosis due to its intrinsic complexity. Therefore, this paper proposes an effective classification model for three types of NHL pathological images, including mantl...
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| Publicat a: | Biomed Res Int |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Hindawi
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6448331/ https://ncbi.nlm.nih.gov/pubmed/31016181 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/1065652 |
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