Generating Full-Field Digital Mammogram From Digitized Screen-Film Mammogram for Breast Cancer Screening With High-Resolution Generative Adversarial Network

PURPOSE: Developing deep learning algorithms for breast cancer screening is limited due to the lack of labeled full-field digital mammograms (FFDMs). Since FFDM is a new technique that rose in recent decades and replaced digitized screen-film mammograms (DFM) as the main technique for breast cancer...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Yuanpin, Wei, Jun, Wu, Dongmei, Zhang, Yaqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105019/
https://www.ncbi.nlm.nih.gov/pubmed/35574397
http://dx.doi.org/10.3389/fonc.2022.868257

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105019/
https://www.ncbi.nlm.nih.gov/pubmed/35574397
http://dx.doi.org/10.3389/fonc.2022.868257

Ejemplares similares