Transformers-based architectures for stroke segmentation: A review
Stroke remains a significant global health concern, necessitating precise and efficient
diagnostic tools for timely intervention and improved patient outcomes. The emergence of …
diagnostic tools for timely intervention and improved patient outcomes. The emergence of …
Exploring approaches to tackle cross-domain challenges in brain medical image segmentation: a systematic review
M Yanzhen, C Song, L Wan**, Y Zufang… - Frontiers in …, 2024 - frontiersin.org
Introduction Brain medical image segmentation is a critical task in medical image
processing, playing a significant role in the prediction and diagnosis of diseases such as …
processing, playing a significant role in the prediction and diagnosis of diseases such as …
A novel residual fourier convolution model for brain tumor segmentation of mr images
H Zhu, H He - Pattern Analysis and Applications, 2024 - Springer
Magnetic resonance imaging is an essential tool for the early diagnosis of brain tumors.
However, it is challenging for the segmentation of the brain tumor of magnetic resonance …
However, it is challenging for the segmentation of the brain tumor of magnetic resonance …
MMS: Morphology-Mixup Stylized Data Generation for Single Domain Generalization in Medical Image Segmentation
X He, B Yang, F Lyu - ICASSP 2024-2024 IEEE International …, 2024 - ieeexplore.ieee.org
Single-source domain generalization in medical image segmentation is a challenging yet
practical task, as domain shift commonly exists across medical datasets. Previous works …
practical task, as domain shift commonly exists across medical datasets. Previous works …
MD-TransUNet: TransUNet with Multi-attention and Dilated Convolution for Brain Stroke Lesion Segmentation
J Xu, J Wan, X Zhang - International Conference on Collaborative …, 2023 - Springer
The accurate segmentation of stroke lesion regions holds immense significance in sha**
treatment strategies and rehabilitation protocols. Due to the large difference in the volume of …
treatment strategies and rehabilitation protocols. Due to the large difference in the volume of …
脑卒中病灶自动分割方法成为**几年的研究热点. 为了全面研究用于MRI 脑卒中病灶分割的深度
学**方法的现状, 针对脑卒中治疗的临床问题, 进一步阐述了基于深度学**的病灶分割的研究 …
学**方法的现状, 针对脑卒中治疗的临床问题, 进一步阐述了基于深度学**的病灶分割的研究 …