Cargando…
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention
PURPOSE: Segmentation of liver vessels from CT images is indispensable prior to surgical planning and aroused a broad range of interest in the medical image analysis community. Due to the complex structure and low-contrast background, automatic liver vessel segmentation remains particularly challeng...
Autores principales: | Wu, Mian, Qian, Yinling, Liao, Xiangyun, Wang, Qiong, Heng, Pheng-Ann |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329304/ https://www.ncbi.nlm.nih.gov/pubmed/37422639 http://dx.doi.org/10.1186/s12880-023-01045-y |
Ejemplares similares
-
Swin-MFA: A Multi-Modal Fusion Attention Network Based on Swin-Transformer for Low-Light Image Human Segmentation
por: Yi, Xunpeng, et al.
Publicado: (2022) -
SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer
por: Jiang, Yun, et al.
Publicado: (2022) -
FEA-Swin: Foreground Enhancement Attention Swin Transformer Network for Accurate UAV-Based Dense Object Detection
por: Xu, Wenyu, et al.
Publicado: (2022) -
Channel-Unet: A Spatial Channel-Wise Convolutional Neural Network for Liver and Tumors Segmentation
por: Chen, Yilong, et al.
Publicado: (2019) -
S-Swin Transformer: simplified Swin Transformer model for offline handwritten Chinese character recognition
por: Dan, Yongping, et al.
Publicado: (2022)