Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors.

Then, it uses that knowledge to create new, artificial image-mask pairs to augment a small dataset of real examples. A segmentation model is trained using both.

Methods: We propose a hybrid deep learning framework integrating Mask R-CNN for automated plaque segmentation with a dual-path classification pipeline. A dataset of 610 expert-annotated MRI scans from ...

Disney and Universal joined forces in a lawsuit against artificial intelligence image creator Midjourney, alleging copyright infringement. It is the first AI copyright lawsuit from Hollywood giants.

Cervical cancer ranks as a major cause of death among women globally, making essential for effective treatment. The automated examination of Pap smear images through sophisticated machine learning and ...

The classification accuracy of PointMLP was higher than 94%, RF was higher than 89%, and SVM was higher than 88%, indicating that the three models had low misidentification rates in tree species ...

This study achieves greater prediction stability and model focus on important visual elements by using CNN architectures such as U-Net and ResNet, which are well-known for their efficacy in medical ...

Flower image classification poses a challenge in digital image processing, requiring effective methods for feature extraction and classification. The aim of this research is to improve the accuracy of ...

Cybercriminals are deploying novel techniques to bypass email security, including embedding malicious code inside images and using GenAI to deliver malware. HP Wolf researchers highlighted several ...