Lesion segmentation in lung CT scans using unsupervised adversarial learning.
Lesion segmentation in medical images is difficult yet crucial for proper diagnosis and treatment. Identifying lesions in medical images is costly and time-consuming and requires highly specialized knowledge. For this reason, supervised and semi-supervised learning techniques have been developed. Ne...
| Published in: | Medical & Biological Engineering & Computing Vol. 60; no. 11; pp. 3203 - 3216 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Nov2022
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| Online Access: | View this record in EBSCOhost |