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Breast ultrasound lesions recognition: end-to-end deep learning approaches
Multistage processing of automated breast ultrasound lesions recognition is dependent on the performance of prior stages. To improve the current state of the art, we propose the use of end-to-end deep learning approaches using fully convolutional networks (FCNs), namely FCN-AlexNet, FCN-32s, FCN-16s...
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| Publicat a: | J Med Imaging (Bellingham) |
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| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6177528/ https://ncbi.nlm.nih.gov/pubmed/30310824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.1.011007 |
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