"ASC-Net: Unsupervised Medical Anomaly Segmentation Using an ..."

Raunak Dey et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-08-22

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2112-09135
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2112-09135
Raunak Dey, Wenbo Sun, Haibo Xu, Yi Hong:
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network. CoRR abs/2112.09135 (2021)

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