Background Percutaneous thermal ablation has become the preferred therapeutic treatment
option for liver cancers that cannot be resected. Since ablative zone tissue changes over …

In this study, a novel approach is proposed for glucose regulation in type-I diabetes patients.
Unlike most studies, the glucose–insulin metabolism is considered to be uncertain. A new …

The Electrocardiography (ECG) serves as a standard method for diagnosing cardiovascular
disease due to its minimal risk, affordable price and simple application. Clinical information …

Background Currently, several treatment options are available for liver cancer depending on
various factors such as location, size, shape, and liver function. Image fusion is required for …

Deep reinforcement learning (DRL), which highly depends on the data representation, has
shown its potential in many practical decision-making problems. However, the process of …

Abstract Robotic-Assisted Surgery (RAS) is beginning to unlock its potential. However,
despite the latest advances in RAS, the steep learning curve of RAS devices remains a …

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 …

To automatically identify and delineate metastatic lesions in low-resolution bone scan
images, we propose a deep learning-based segmentation method in this paper. In …

Early detection and identification of malignant lung nodules improve the survival of lung
cancer patients. The visual attributes such as subtlety, spiculation, and calcification of lung …

This paper describes a new non-rigid approach to register images from same-and cross-
imaging modalities such as magnetic resonance imaging, computed tomography, and 3D …