When you use this tool to remove background from an image, the AI instantly detects the primary subject—be it a sneaker, a ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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 ...

Abstract: Artificial Intelligence and deep learning models have evolved rapidly in the last decade and successfully applied to face recognition, autonomous driving, satellite imaging, robotics, and ...

This project represents a collaborative research initiative between the Machine Intelligence Lab and Department of Ophthalmology, Sichuan University focusing on advanced deep learning solutions for ...

Two particular phases in your nightly routine seem to play outsize roles in cognitive health. By Mohana Ravindranath A good night’s sleep isn’t just about the number of hours you log. Getting quality ...

Introduction: Accurate segmentation of pelvic fractures from computed tomography (CT) is crucial for trauma diagnosis and image-guided reduction surgery. The traditional manual slice-by-slice ...

U-NET, a convolutional neural network architecture, demonstrates exceptional performance in brain tumour segmentation, achieving 98.56% accuracy and 99% F-score in MRI image analysis. Brain health is ...