Explaining a Deep Learning Based Breast Ultrasound Image Classifier with Saliency Maps

AIM OF THE STUDY: Deep neural networks have achieved good performance in breast mass classification in ultrasound imaging. However, their usage in clinical practice is still limited due to the lack of explainability of decisions conducted by the networks. In this study, to address the explainability...

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Detalles Bibliográficos
Autores principales: Byra, Michał, Dobruch-Sobczak, Katarzyna, Piotrzkowska-Wroblewska, Hanna, Klimonda, Ziemowit, Litniewski, Jerzy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2022
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231514/
https://www.ncbi.nlm.nih.gov/pubmed/35811586
http://dx.doi.org/10.15557/JoU.2022.0013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231514/
https://www.ncbi.nlm.nih.gov/pubmed/35811586
http://dx.doi.org/10.15557/JoU.2022.0013

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