Medical imaging is considered one of the most important advances in the history of medicine
and has become an essential part of the diagnosis and treatment of patients. Earlier …

In laparoscopic liver resection, surgeons conventionally rely on anatomical landmarks
detected through a laparoscope, preoperative volumetric images and laparoscopic …

In this work, a chaotification technique is proposed for increasing the complexity of chaotic
maps. The technique consists of adding the remainder of multiple scalings of the map's …

Abstract Background and Objective: Accurate and fast vessel segmentation from liver slices
remain challenging and important tasks for clinicians. The algorithms from the literature are …

As one of the critical steps in brain imaging analysis and processing, brain image
registration plays a significant role. In this paper, we proposed a technique of human brain …

Accurate and fast liver segmentation remains a challenging and important task for clinicians.
Segmentation algorithms are slow and inaccurate due to noise and low quality images in …

Image upscaling aims to increase the resolution and size of a low resolution (LR) image in
order to generate a high resolution (HR) image of high frequency (HF). There are several …

Feature registration is a core problem in computer vision and machine learning techniques.
In recent years, significant progress has been made in learning-based feature registration …

Surgical process modelling is an innovative approach that aims to simplify the challenges
involved in improving surgeries through quantitative analysis of a well-established model of …

Objective: Use of optimal Atlas segmentation algorithm to study the imaging signs of
mycoplasma pneumonia with multi-slice spiral CT (HRCT), and to explore the value of …