Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Development and Validation of a Model for Laparoscopic Colorectal Surgical Instrument Recognition Using Convolutional Neural Network–Based Instance Segmentation and Videos of Laparoscopic Procedures
por: Kitaguchi, Daichi, et al.
Publicado: (2022) -
Development and Validation of a 3-Dimensional Convolutional Neural Network for Automatic Surgical Skill Assessment Based on Spatiotemporal Video Analysis
por: Kitaguchi, Daichi, et al.
Publicado: (2021) -
Deep learning-based automatic surgical step recognition in intraoperative videos for transanal total mesorectal excision
por: Kitaguchi, Daichi, et al.
Publicado: (2021) -
Artificial intelligence‐based computer vision in surgery: Recent advances and future perspectives
por: Kitaguchi, Daichi, et al.
Publicado: (2021) -
Automatic purse-string suture skill assessment in transanal total mesorectal excision using deep learning-based video analysis
por: Kitaguchi, Daichi, et al.
Publicado: (2023)