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Multi-instance Multi-label Learning for Multi-class Classification of Whole Slide Breast Histopathology Images
Digital pathology has entered a new era with the availability of whole slide scanners that create high-resolution images of full biopsy slides. Consequently, the uncertainty regarding the correspondence between the image areas and the diagnostic labels assigned by pathologists at the slide level, an...
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| Veröffentlicht in: | IEEE Trans Med Imaging |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5774338/ https://ncbi.nlm.nih.gov/pubmed/28981408 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2017.2758580 |
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