Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network

The purpose of this study was to determine the feasibility of a deep convolutional neural network (dCNN) to accurately detect abnormal axillary lymph nodes on mammograms. In this retrospective study, 107 mammographic images in mediolateral oblique projection from 74 patients were labeled to three cl...

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Detalles Bibliográficos
Autores principales: Abel, Frederik, Landsmann, Anna, Hejduk, Patryk, Ruppert, Carlotta, Borkowski, Karol, Ciritsis, Alexander, Rossi, Cristina, Boss, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221636/
https://www.ncbi.nlm.nih.gov/pubmed/35741157
http://dx.doi.org/10.3390/diagnostics12061347

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221636/
https://www.ncbi.nlm.nih.gov/pubmed/35741157
http://dx.doi.org/10.3390/diagnostics12061347

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