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Combination of generative adversarial network and convolutional neural network for automatic subcentimeter pulmonary adenocarcinoma classification
BACKGROUND: The efficient and accurate diagnosis of pulmonary adenocarcinoma before surgery is of considerable significance to clinicians. Although computed tomography (CT) examinations are widely used in practice, it is still challenging and time-consuming for radiologists to distinguish between di...
Shranjeno v:
| izdano v: | Quant Imaging Med Surg |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
AME Publishing Company
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7276356/ https://ncbi.nlm.nih.gov/pubmed/32550134 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims-19-982 |
| Oznake: |
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