Video-based human activity recognition (HAR) is an important task in many fields, such as
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …

Computed tomography (CT) is used in a wide range of medical imaging diagnoses.
However, the reconstruction of CT images from raw projection data is inherently complex …

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 …

Segmenting the liver and liver tumors in computed tomography (CT) images is an important
step toward quantifiable biomarkers for a computer-aided decision-making system and …

Nowadays, liver tumor segmentation has been widely applied for vital medical objectives
such as illness diagnosis, treatment, and evaluation of liver function. In this work, we aim to …

Image-based detection of human actions has recently emerged as a hot research area in the
fields of computer vision and pattern recognition. It is concerned with detecting a person's …

The healthcare industry faces significant challenges in patient identification and data
interoperability due to the use of different electronic medical records (EMRs) and variations …

Chemical Exchange Saturation Transfer (CEST) magnetic resonance imaging (MRI)
provides a novel method for analyzing biomolecule concentrations in tissues without …

Liver cancer is the primary reason of death around the globe. Manually detecting the
infected tissues is a challenging and time-consuming task. The computerized methods help …

Accurate liver segmentation from CT scans is essential for computer-aided diagnosis and
treatment planning. Recently, Vision Transformers achieved a competitive performance in …