There have been major developments in deep learning in computer vision since the 2010s.
Deep learning has contributed to a wealth of data in medical image processing, and …

The diagnosis of liver cancer is one of the most attractive fields in clinical practice for its high
mortality. Accurate segmentation of liver and tumor has been publicly accepted to be an …

Medical image segmentation plays an important role in medical diagnosis, and has received
extensive attention in recent years. A large number of convolutional neural network based …

In this article, we study the indirect relationship between the adoption of computer-aided
detection or diagnostic (CADe or CADx) systems for hepatic resection (HR) and the patient's …

Aims The liver CT image segmentation is still until now a challenging problem due to the
fuzzy nature of the tumor transition to the surrounding tissues. The objective of this article is …

Objective The accurate detection and segmentation of liver cancers from abdominal CT
scans is critical. However, segmenting liver tumors presents significant hurdles due to …

Millions of death cases have been occurring from liver cancer or hepatic cancer worldwide.
This disease is most commonly caused by scarring or cirrhosis of the liver tissue. Therefore …

Liver and liver tumor segmentation based on abdomen computed tomography (CT) images
is an essential step in computer-assisted clinical interventions. However, liver and tumor …

Accurate liver segmentation is essential for radiation therapy planning of hepatocellular
carcinoma and absorbed dose calculation. However, liver segmentation is a challenging …

The largest organ in the body is the liver and primarily helps in metabolism and
detoxification. Liver segmentation is a crucial step in liver cancer detection in computer …