Objectives Machine learning (ML) for medical imaging is emerging for several organs and
image modalities. Our objectives were to provide clinicians with an overview of this field by …

Liver cancer contributes to the increasing mortality rate in the world. Therefore, early
detection may lead to a decrease in morbidity and increase the chance of survival rate. This …

Liver cancer is the fifth most common type of tumor in men and the ninth most common type
of tumor in women. After taking a sample of liver tissue, imaging tests like computed …

Purpose Liver segmentation is an essential step in a variety of clinical applications like
tumor detection, transplantation, and other liver treatments. Even though there is a lot of …

This study proposes an unsupervised, learning‐based, reconstructed scheme and a
residual analysis‐based defect detection model for colour‐patterned fabric defect detection …

In recent years, one of the largest causes of death in human beings is liver tumor and
cancer. In the current scenario, identifying the cancer tumor manually is very difficult and …

Accurate monitoring of thermal ablation regions is an important guarantee for successful
ablation treatment, which mainly depends on the subjective judgment of radiologists in …

Background To develop an automatic and reliable ultrasonic visual system for robot‐or
computer‐assisted liposuction, we examined the use of deep learning for the segmentation …

Segmentation and categorization of Liver CT scan images is very crucial phase, many
algorithms are used to detect the tumor from CT scan images.. We designed a model for liver …

The liver is one of the most important organs in the human body. The liver's proper function
is critical for overall health, and liver diseases or disorders can have serious consequences …