Elon Musk’s Grok can no longer undress images of real people on X

Elon Musk’s Grok artificial intelligence chatbot will no longer edit “images of real people in revealing clothing” on the X ...
IEEE

Image Semantic Segmentation Algorithm Based on U-Net

Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...
IEEE

A Reliable Segmentation Model for Limited Medical Image Datasets With Attention Mechanism and Kolmogorov–Arnold Networks

Abstract: The effectiveness and robustness of medical image segmentation algorithms inextricably depends on the quality and quantity of training data. Insufficient data continually restricts model ...
Frontiers

Research on breast tumor segmentation based on the Mamba architecture

1 Anhui University of Chinese Medicine, Hefei, China 2 College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China Medical image segmentation is fundamental ...
Nanowerk

AI rebuilds 3D structures from 2D microscope images with speed and precision

An AI algorithm converts 2D electron microscope images into accurate 3D structures, cutting analysis time and cost to one-eighth while preserving precision. The newly developed algorithm requires ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

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 ...
Frontiers

Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...