A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica

The implementation of deep learning-based computer-aided diagnosis systems for the classification of mammogram images can help in improving the accuracy, reliability, and cost of diagnosing patients. However, training a deep learning model requires a considerable amount of labelled images, which can...

Descripción completa

Detalles Bibliográficos
Autores principales: Calderon-Ramirez, Saul, Murillo-Hernandez, Diego, Rojas-Salazar, Kevin, Elizondo, David, Yang, Shengxiang, Moemeni, Armaghan, Molina-Cabello, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892413/
https://www.ncbi.nlm.nih.gov/pubmed/35239108
http://dx.doi.org/10.1007/s11517-021-02497-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892413/
https://www.ncbi.nlm.nih.gov/pubmed/35239108
http://dx.doi.org/10.1007/s11517-021-02497-6

Ejemplares similares