Compared with the traditional analysis of computed tomography scans, automatic liver tumor
segmentation can supply precise tumor volumes and reduce the inter-observer variability in …

Automatic liver tumor segmentation is a paramount important application for liver tumor
diagnosis and treatment planning. However, it has become a highly challenging task due to …

Liver cancer is one of the leading causes of cancer death. Accurate and automatic liver
tumor segmentation methods are urgent needs in clinical practice. Currently, Fully …

Automatic segmentation of the organ's tumor and lesion on biomedical imaging is an
essential initiative towards clinical study, treatment planning and digital biomedical …

Purpose Accurate segmentation of liver and liver tumors is critical for radiotherapy. Liver
tumor segmentation, however, remains a difficult and relevant problem in the field of medical …

Accurate segmentation of liver tumors is a prerequisite for early diagnosis of liver cancer.
Segmentation networks extract features continuously at the same scale, which cannot adapt …

Automatic liver and tumor segmentation are essential steps to take decisive action in hepatic
disease detection, deciding therapeutic planning, and post-treatment assessment. The …

Liver cancer is one of the leading causes of cancer-related deaths worldwide. Automatic
liver and tumor segmentation are of great value in clinical practice as they can reduce …

Computerized tomography (CT) is of great significance for the localization and diagnosis of
liver cancer. Many scholars have recently applied deep learning methods to segment CT …

Automatic assessing the location and extent of liver and liver tumor is critical for radiologists,
diagnosis and the clinical process. In recent years, a large number of variants of U-Net …