Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

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 …

Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Liver segmentation and recognition from computed tomography (CT) images is a warm topic
in image processing which is helpful for doctors and practitioners. Currently, many deep …

Segmentation of images is a common task within medical image analysis and a necessary
component of medical image segmentation. The segmentation of the liver and liver tumors is …

In the present study, polyethylene oxide (PEO)/polycaprolactone (PCL) core/sheath
nanofibers were prepared via co-axial electrospinning method. Doxorubicin hydrochloride …

Segmentation of the liver and tumours from computed tomography (CT) scans is an
important task in hepatic surgical planning. Manual segmentation of the liver and tumours is …

Surgical resection of the tumor remains the preferred treatment for most solid tumors at an
early stage, but surgical treatment often leads to massive bleeding and residual tumor cells …

The segmentation of the liver is a difficult process due to the changes in shape, border, and
density that occur in each section in computed tomography (CT) images. In this study, the …