Ultrasonographic morphological characteristics determined using a deep learning-based computer-aided diagnostic system of breast cancer

To investigate the correlations between ultrasonographic morphological characteristics quantitatively assessed using a deep learning-based computer-aided diagnostic system (DL-CAD) and histopathologic features of breast cancer. This retrospective study included 282 women with invasive breast cancer...

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Detalles Bibliográficos
Autores principales: Kim, Young Seon, Lee, Seung Eun, Chang, Jung Min, Kim, Soo-Yeon, Bae, Young Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
6800
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772632/
https://www.ncbi.nlm.nih.gov/pubmed/35060538
http://dx.doi.org/10.1097/MD.0000000000028621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772632/
https://www.ncbi.nlm.nih.gov/pubmed/35060538
http://dx.doi.org/10.1097/MD.0000000000028621

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