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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Bibliographische Detailangaben
Veröffentlicht in:J Med Imaging (Bellingham)
Hauptverfasser: Yap, Moi Hoon, Goyal, Manu, Osman, Fatima M., Martí, Robert, Denton, Erika, Juette, Arne, Zwiggelaar, Reyer
Format: Artigo
Sprache:Inglês
Veröffentlicht: Society of Photo-Optical Instrumentation Engineers 2018
Schlagworte:
Special Section on Artificial Intelligence in Medical Imaging
Online Zugang: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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