Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction

The aim of this study is to evaluate cosmetic outcomes of the reconstructed breast in breast cancer patients, using anomaly score (AS) detected by generative adversarial network (GAN) deep learning algorithm. A total of 251 normal breast images from patients who underwent breast-conserving surgery w...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Dong-Yun, Lee, Soo Jin, Kim, Eun-Kyu, Kang, Eunyoung, Heo, Chan Yeong, Jeong, Jae Hoon, Myung, Yujin, Kim, In Ah, Jang, Bum-Sup
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/PMC9399246/
https://www.ncbi.nlm.nih.gov/pubmed/35999451
http://dx.doi.org/10.1038/s41746-022-00671-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399246/
https://www.ncbi.nlm.nih.gov/pubmed/35999451
http://dx.doi.org/10.1038/s41746-022-00671-0

Ejemplares similares