The effect of image resolution on convolutional neural networks in breast ultrasound

PURPOSE: The objective of this research was to investigate the efficacy of various parameter combinations of Convolutional Neural Networks (CNNs) models, namely MobileNet and DenseNet121, and different input image resolutions (REZs) ranging from 64×64 to 512×512 pixels, for diagnosing breast cancer....

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Detalles Bibliográficos
Autores principales: Tang, Shuzhen, Jing, Chen, Jiang, Yitao, Yang, Keen, Huang, Zhibin, Wu, Huaiyu, Cui, Chen, Shi, Siyuan, Ye, Xiuqin, Tian, Hongtian, Song, Di, Xu, Jinfeng, Dong, Fajin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469557/
https://www.ncbi.nlm.nih.gov/pubmed/37664701
http://dx.doi.org/10.1016/j.heliyon.2023.e19253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469557/
https://www.ncbi.nlm.nih.gov/pubmed/37664701
http://dx.doi.org/10.1016/j.heliyon.2023.e19253

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