Segmentation of brain tumors is of great importance for patients in clinical diagnosis and
treatment. For this reason, experts try to identify border regions of special importance using …

Aiming at the task of automatic brain tumor segmentation, this paper proposes a new
DenseTrans network. In order to alleviate the problem that convolutional neural networks …

Brain tumors are characterized by their relatively high incidence and mortality rates,
highlighting the utmost importance of precise automatic segmentation for subsequent …

Currently, brain tumors are extremely harmful and prevalent. Deep learning technologies,
including CNNs, UNet, and Transformer, have been applied in brain tumor segmentation for …

Segmentation methods based on convolutional neural networks (CNN) have achieved
remarkable results in the field of medical image segmentation due to their powerful …

Precise localization and volumetric segmentation of glioblastoma before and after surgery
are crucial for various clinical purposes, including post‐surgery treatment planning …