Cargando…
Adaptive kernel selection network with attention constraint for surgical instrument classification
Computer vision (CV) technologies are assisting the health care industry in many respects, i.e., disease diagnosis. However, as a pivotal procedure before and after surgery, the inventory work of surgical instruments has not been researched with the CV-powered technologies. To reduce the risk and ha...
Autores principales: | Hou, Yaqing, Zhang, Wenkai, Liu, Qian, Ge, Hongwei, Meng, Jun, Zhang, Qiang, Wei, Xiaopeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435567/ https://www.ncbi.nlm.nih.gov/pubmed/34539089 http://dx.doi.org/10.1007/s00521-021-06368-x |
Ejemplares similares
-
Image classification model based on large kernel attention mechanism and relative position self-attention mechanism
por: Liu, Siqi, et al.
Publicado: (2023) -
Motor Imagery Classification via Kernel-Based Domain Adaptation on an SPD Manifold
por: Jiang, Qin, et al.
Publicado: (2022) -
An Adaptive EEG Classification Algorithm Based on CSSD and ELM_Kernel for Small Training Samples
por: Wang, Li, et al.
Publicado: (2022) -
DSKCA-UNet: Dynamic selective kernel channel attention for medical image segmentation
por: Shen, Longfeng, et al.
Publicado: (2023) -
Unsupervised Domain Adaptation with Shape Constraint and Triple Attention for Joint Optic Disc and Cup Segmentation
por: Zhang, Fengming, et al.
Publicado: (2022)