Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder

Discrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a convolutional neural network model with a convolutional autoencoder (CNN-CAE) to classify ovarian tumors. A total of 1613 ultrasound images of ovaries with known pathological diagnoses were pre-processe...

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Detalles Bibliográficos
Autores principales: Jung, Yuyeon, Kim, Taewan, Han, Mi-Ryung, Kim, Sejin, Kim, Geunyoung, Lee, Seungchul, Choi, Youn Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554195/
https://www.ncbi.nlm.nih.gov/pubmed/36220853
http://dx.doi.org/10.1038/s41598-022-20653-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554195/
https://www.ncbi.nlm.nih.gov/pubmed/36220853
http://dx.doi.org/10.1038/s41598-022-20653-2

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