Limited generalizability of single deep neural network for surgical instrument segmentation in different surgical environments

Clarifying the generalizability of deep-learning-based surgical-instrument segmentation networks in diverse surgical environments is important in recognizing the challenges of overfitting in surgical-device development. This study comprehensively evaluated deep neural network generalizability for su...

Descripción completa

Detalles Bibliográficos
Autores principales: Kitaguchi, Daichi, Fujino, Toru, Takeshita, Nobuyoshi, Hasegawa, Hiro, Mori, Kensaku, Ito, Masaaki
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/PMC9307578/
https://www.ncbi.nlm.nih.gov/pubmed/35869249
http://dx.doi.org/10.1038/s41598-022-16923-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307578/
https://www.ncbi.nlm.nih.gov/pubmed/35869249
http://dx.doi.org/10.1038/s41598-022-16923-8

Ejemplares similares