Liver and liver tumor segmentation from 3D volumetric images has been an active research
area in the medical image processing domain for the last few decades. The existence of …

Computer-Aided diagnosis (CAD) is a widely used technique to detect and diagnose
diseases like tumors, cancers, edemas, etc. Several critical retinal diseases like diabetic …

Cancer is a non-contagious disease that is the leading cause of death globally. The most
common types of cancer with high mortality are lung and colon cancer. One of the efforts to …

Treatment success for atrial fibrillation (AF) has been suboptimal until now, even though it is
among the most frequent types of sustained atrial arrhythmia. Magnetic resonance imaging …

Due to underwater light absorption and scattering, underwater images often suffer from color
distortion and low contrast. However, existing underwater image enhancement methods can …

Simple Summary A major prognosis factor for glioblastoma patients is the methylation status
of the DNA repair enzyme MGMT. Obtaining this information using deep learning models …

Simple Summary Lung cancer stands as a serious health challenge, prompting the
exploration of innovative detection methods. Volatile organic compounds (VOCs) found in …

In the realm of industrial inspection, the precise assessment of internal thread quality is
crucial for ensuring mechanical integrity and safety. However, challenges such as limited …

Recent developments in engineering and computer sciences have heightened the need for
digital image enhancement. Most of the previously reported works, however, focused on …

The presence of abnormalities on CT lung images of COVID-19 patients, such as ground-
glass opacity and consolidation, can be used to aid in the detection of COVID-19. These …