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Study on automatic detection and classification of breast nodule using deep convolutional neural network system
BACKGROUNDS: Conventional ultrasound manual scanning and artificial diagnosis approaches in breast are considered to be operator-dependence, slight slow and error-prone. In this study, we used Automated Breast Ultrasound (ABUS) machine for the scanning, and deep convolutional neural network (CNN) te...
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| I publikationen: | J Thorac Dis |
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| Huvudupphovsmän: | , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
AME Publishing Company
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7578508/ https://ncbi.nlm.nih.gov/pubmed/33145042 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/jtd-19-3013 |
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