ロード中...
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...
保存先:
| 出版年: | IEEE Trans Med Imaging |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
|
| 主題: | |
| オンライン･アクセス: | 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 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|