Advancements in computational techniques have transformed glaucoma research, providing
a deeper understanding of genetics, disease mechanisms, and potential therapeutic targets …

The adoption of “artificial intelligence (AI) in drug discovery”, where AI is used in the process
of pharmaceutical research and development, is progressing. By using the ability to process …

Automatic analysis of pathological images is important for the diagnosis and treatment of
diseases. The use of computerized systems in this field is becoming increasingly common …

Due to deep learning's success in many medical applications, it is regarded as a significant
technique for use in the area of dentistry, where several panoramic X-ray images are …

Detecting the speaking modes of human is an important cue in many applications, including
detecting active/inactive participants in video conferencing, monitoring students' attention in …

This article is focused on the comprehensive evaluation of alleyways to scale-invariant
feature transform (SIFT) and random sample consensus (RANSAC) based multispectral …

Background Magnetic resonance imaging (MRI) diagnosis is usually performed by
analyzing contrast‐weighted images, where pathology is detected once it reached a certain …

Obtaining extensive, high-quality datasets for crack segmentation with pixel-level labels is
expensive and labor-intensive. The Unified Weakly and Semi-supervised Crack …

We investigated a state-of-the-art algorithm for 3D reconstruction with a pair-matching
technique, which enabled the fabrication of individualized implant restorations in the esthetic …

Drone or unmanned aerial vehicle (UAV) technology has undergone significant changes.
The technology allows a UAV to carry out a wide range of tasks with an increasing level of …