Originally designed for medical segmentation, the U-Net model excels in ocean remote
sensing for segmentation, forecasting, and image enhancement. We propose …

This paper aims to diagnose COVID-19 by using Chest X-Ray (CXR) scan images in a deep
learning-based system. First of all, COVID-19 Chest X-Ray Dataset is used to segment the …

Early-stage 3D brain tumor segmentation from magnetic resonance imaging (MRI) scans is
crucial for prompt and effective treatment. However, this process faces the challenge of …

Accurate lung segmentation plays a vital role in generating 3D projections of lung infections,
which contribute to the diagnosis and treatment planning of various lung diseases, including …

Recently remote sensing images have become more popular due to improved image quality
and resolution. These images have been shown to be a valuable data source for road …

Objective: To enable context-aware computer assistance in the operating room of the future,
cognitive systems need to understand automatically which surgical phase is being …

Stereoscopic display technology plays a significant role in industries, such as film, television
and autonomous driving. The accuracy of depth estimation is crucial for achieving high …

To investigate the performance of deep-learning-based algorithms for the automatic
segmentation and quantification of abdominal aortic calcification (AAC) in lateral lumbar …

Analyzing the cone photoreceptor pattern in images obtained from the living human retina
using quantitative methods can be crucial for the early detection and management of various …

Scanning Electron Microscope (SEM) is a crucial tool for studying microstructures of ceramic
materials. However, the current practice heavily relies on manual efforts to extract porosity …