Deep convolutional neural networks for multiple histologic types of ovarian tumors classification in ultrasound images

OBJECTIVE: This study aimed to evaluate and validate the performance of deep convolutional neural networks when discriminating different histologic types of ovarian tumor in ultrasound (US) images. MATERIAL AND METHODS: Our retrospective study took 1142 US images from 328 patients from January 2019...

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Detalles Bibliográficos
Autores principales: Wu, Meijing, Cui, Guangxia, Lv, Shuchang, Chen, Lijiang, Tian, Zongmei, Yang, Min, Bai, Wenpei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326903/
https://www.ncbi.nlm.nih.gov/pubmed/37427129
http://dx.doi.org/10.3389/fonc.2023.1154200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326903/
https://www.ncbi.nlm.nih.gov/pubmed/37427129
http://dx.doi.org/10.3389/fonc.2023.1154200

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