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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Detalhes bibliográficos
Publicado no:J Med Imaging (Bellingham)
Main Authors: Yap, Moi Hoon, Goyal, Manu, Osman, Fatima M., Martí, Robert, Denton, Erika, Juette, Arne, Zwiggelaar, Reyer
Formato: Artigo
Idioma:Inglês
Publicado em: Society of Photo-Optical Instrumentation Engineers 2018
Assuntos:
Special Section on Artificial Intelligence in Medical Imaging
Acesso em linha: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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