Satellite imaging is the technology that offer real-time geospatial information in the form of images. These images are further utilized across various applications for commercial purposes. The ...

In addition, it helps to provide real time data such as transition plan information, fall eclipse information, messaging information, satellite coverage, polar orbit tracks, and general satellite ...

Abstract: Image segmentation applications are a core component of safety-critical autonomous software pipelines. Sensor data input noise can lead to segmentation output corruption that threatens ...

Abstract: Medical image segmentation is a critical process in identifying disease-infected regions for diagnostic and treatment purposes. This paper introduces an FPGA-based framework for implementing ...

Introduction: Deep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science ...

Computer vision and image synthesis based on deep learning models, such as YOLO, U-Net, and Transformer, are advancing rapidly. These technologies are significantly impacting the field of neurology.

Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating ...

Background: Coronary artery segmentation, Lesion Identification and Measurement (CASLIM) on XRA images on X-ray angiography (XRA) are performed by cardiologists. Aims: The study, CASLIM aims to ...