Elon Musk’s A.I. Is Generating Sexualized Images of Real People, Fueling Outrage

Late Thursday, Mr. Musk’s chatbot, Grok, limited requests for A.I.-generated images on X to paid subscribers of the social ...
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

Automatic pelvic fracture segmentation: a deep learning approach and benchmark dataset

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 ...
emjreviews.com

Deep Learning Enhances Brain Tumour Segmentation

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 ...
emjreviews.com

Deep-Learning Model for Lung Tumour Detection and Segmentation

NEW CUTTING-edge deep-learning model using lung CT imaging has shown significant potential for accurately identifying and segmenting lung tumours, according to researchers based in the USA. The ...
IEEE

Research Advances in Deep Learning for Image Semantic Segmentation Techniques

Abstract: Image semantic segmentation represents a significant area of research within the field of computer vision. With the advent of deep learning, image semantic segmentation techniques that ...
Frontiers

Review of Deep Learning Based Automatic Segmentation for Lung Cancer Radiotherapy

Lung cancer is the leading cause of cancer-related mortality for males and females. Radiation therapy (RT) is one of the primary treatment modalities for lung cancer. While delivering the prescribed ...