Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism

Background: The accurate classification between malignant and benign breast lesions detected on mammograms is a crucial but difficult challenge for reducing false-positive recall rates and improving the efficacy of breast cancer screening. Objective: This study aims to optimize a new deep transfer l...

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Detalles Bibliográficos
Autores principales: Islam, Warid, Jones, Meredith, Faiz, Rowzat, Sadeghipour, Negar, Qiu, Yuchen, Zheng, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611554/
https://www.ncbi.nlm.nih.gov/pubmed/36287799
http://dx.doi.org/10.3390/tomography8050200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611554/
https://www.ncbi.nlm.nih.gov/pubmed/36287799
http://dx.doi.org/10.3390/tomography8050200

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