Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network

PURPOSE: The aim of this study was to develop and test a post-processing technique for detection and classification of lesions according to the BI-RADS atlas in automated breast ultrasound (ABUS) based on deep convolutional neural networks (dCNNs). METHODS AND MATERIALS: In this retrospective study,...

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Detalles Bibliográficos
Autores principales: Hejduk, Patryk, Marcon, Magda, Unkelbach, Jan, Ciritsis, Alexander, Rossi, Cristina, Borkowski, Karol, Boss, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Breast
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213284/
https://www.ncbi.nlm.nih.gov/pubmed/35147776
http://dx.doi.org/10.1007/s00330-022-08558-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213284/
https://www.ncbi.nlm.nih.gov/pubmed/35147776
http://dx.doi.org/10.1007/s00330-022-08558-0

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