Argonne National Laboratory has made extremely precise measurements of unstable ruthenium nuclei. The measurements are a ...

The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...

Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced and deployable YOLO (You Only Look Once) model to date. Engineered from the ...

Abstract: This research presents an enhanced deep learning-based approach for medical image segmentation by integrating multiple attention mechanisms into the U-Net architecture. Specifically, the ...

1 IoT and Wireless Communication Protocols Laboratory, Department of Electrical and Computer Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia 2 Faculty of Computer ...

1 School of Computer Science, Sichuan University Jinjiang College, Meishan, China. 2 School of Computer Science and Engineering, Sichuan University of Light Chemical Industry, Zigong, China.

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

The Mexican government thought it had turned a corner in cooperating with the Trump administration on combating the cartels, having launched an aggressive crackdown of its own. By Maria Abi-Habib ...

Recent research has focused on multimodal medical image segmentation. A cascaded V-net and H-DenseUNet approach have improved Dice scores, but at the expense of high computational complexity.

Focal cortical dysplasia (FCD) type II is a common cause of epilepsy and is challenging to detect due to its similarities with other brain conditions. Finding these lesions accurately is essential for ...