Simple Summary Automatic segmentation of organs and other regions of interest is a
promising approach for reducing the workload of doctors in radiotherapeutic planning, but it …

Recently, artificial intelligence (AI)-based algorithms have revolutionized the medical image
segmentation processes. Thus, the precise segmentation of organs and their lesions may …

A very crucial branch of Natural Language Processing is Sentiment Analysis, which seeks to
elicit feelings in the public from feedback provided by users. This study proposes a …

Lung cancer constitutes the most severe cause of cancer-related mortality. Recent evidence
supports that early detection by means of computed tomography (CT) scans significantly …

The growing demand for sustainable and energy-efficient buildings has highlighted the
need for reliable and accurate methods to detect fenestration deterioration and assess UV …

Orange is an important citrus fruit grown globally, and its consumption is encouraged by
health-conscious individuals due to its nutritional value. Classifying oranges is important for …

In the realm of modern medicine, medical imaging stands as an irreplaceable pillar for
accurate diagnostics. The significance of precise segmentation in medical images cannot be …

High-quality forward-looking sonar images are the basic guarantee for underwater object
detection and classification of autonomous underwater vehicle (AUV). However, the sonar …

Lung cancer is a kind of harmful cancer type that originates from the lungs. In this research,
the lung lobe segmentation is carried out using Markov Random Field (MRF)-based Artificial …

Oncology has emerged as a crucial field of study in the domain of medicine. Computed
tomography has gained widespread adoption as a radiological modality for the identification …