Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced ...

Abstract: Brain tumor segmentation plays a critical role in accurate diagnosis and treatment planning but remains challenging due to complex tumor boundaries and variations across MRI sequences.

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

A Lawrence Technological University graduate student originally from Kazakhstan is helping redefine precision in robotic ...

Abstract: Colorectal cancer prevention relies on early detection and accurate segmentation of polyps in colonoscopy images, yet challenges such as diverse polyp morphologies, varying imaging ...

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 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...

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 ...

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 ...

This work presents a novel approach for accurate retinal image segmentation leveraging the U-Net convolutional neural network architecture. Our objective is to assist ophthalmologists in diagnosing ...