"SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel ..."

Mario Zusag et al. (2019)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-01-15

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1902-02629
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1902-02629
Mario Zusag, Sujal R. Desai, Marcello Di Paolo, Thomas Semple, Anand Shah, Elsa D. Angelini:
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only. CoRR abs/1902.02629 (2019)

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