Microsoft

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality

preventable cause in children, impacting development. Artificial intelligence (AI) offers promise for early diagnosis via otoscopic image analysis, but dataset biases and inconsistencies limit model ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

1 Department of General Surgery, Shangyu People’s Hospital of Shaoxing, Shaoxing, Zhejiang, China 2 Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, School of ...
The Washington Post

U.S. Coast Guard will no longer classify swastikas, nooses as hate symbols

The U.S. Coast Guard will no longer classify the swastika — an emblem of fascism and white supremacy inextricably linked to the murder of millions of Jews and the deaths of more than 400,000 U.S.