Radiology (imaging) and imaging-guided interventions, which provide multi-parametric
morphologic and functional information, are playing an increasingly significant role in …

The present era has seen a surge in artificial intelligence-related research in oncology,
mainly using deep learning, because of powerful computer hardware, improved algorithms …

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 …

Abdominal CT scans have been widely studied and researched by medical professionals in
recent years. CT scans have proved effective for the task of detection of liver abnormalities in …

The liver is present underneath the diaphragm and extends from right to left upper part of the
belly. The liver is an organ which has many responsibilities for producing different chemicals …

Background: The application of image processing algorithms for medical image analysis has
been found effectual in the past years. Imaging techniques provide assistance to the …

Automatic liver tumour segmentation is an important step towards digital medical research,
clinical diagnosis and therapy planning. However, the existence of noise, low contrast and …

An accurate technique for segmentation of fruits and vegetables image is vital and major
challenges in computer vision. Various segmentation techniques are available in digital …

CT abdominal image requires the automated diagnosis of part of the liver and lesions. It is
challenging to segment the liver and the tumor due to the high strength resemblance …

With an increasing rate of cancers in almost all age groups and advanced screening
techniques leading to an early diagnosis and longer longevity of patients with cancers, it is …