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Classifying symmetrical differences and temporal change for the detection of malignant masses in mammography using deep neural networks

We investigate the addition of symmetry and temporal context information to a deep convolutional neural network (CNN) with the purpose of detecting malignant soft tissue lesions in mammography. We employ a simple linear mapping that takes the location of a mass candidate and maps it to either the co...

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Dades bibliogràfiques
Publicat a:J Med Imaging (Bellingham)
Autors principals: Kooi, Thijs, Karssemeijer, Nico
Format: Artigo
Idioma:Inglês
Publicat: Society of Photo-Optical Instrumentation Engineers 2017
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5633751/
https://ncbi.nlm.nih.gov/pubmed/29021992
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.4.4.044501
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