Nature

A compact and interpretable multi-source framework for heterogeneous medical image classification

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
IEEE

Multiple Feature Learning for Hyperspectral Image Classification

Abstract: Hyperspectral image classification has been an active topic of research in recent years. In the past, many different types of features have been extracted (using both linear and nonlinear ...
The Straits Times

Etomidate’s temporary listing as Class C drug to continue as MOH finalises new vape laws: Shanmugam

SINGAPORE – New laws will be introduced within the first half of 2026 to tackle the e-vaporiser issue, with provisions also covering the anaesthetic agent etomidate. The drug was listed under the ...
Frontiers

Deep learning-based classification of multiple fundus diseases using ultra-widefield images

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...
Scientific Research Publishing

Image Classification Based on Vision Transformer ()

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...
C&EN

MOINER: A Novel Multiomics Early Integration Framework for Biomedical Classification and Biomarker Discovery

College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China Innovation Institute for Artificial Intelligence ...
The Straits Times

NDR 2023: New public housing framework needed to ensure affordability, fairness and good social mix

SINGAPORE - A new classification framework for public housing is needed to ensure homes here remain affordable, with a good social mix in towns, and the system is fair for all, said Prime Minister Lee ...
Scientific Research Publishing

Multi-Label Chest X-Ray Classification via Deep Learning ()

In this era of pandemic, the future of healthcare industry has never been more exciting. Artificial intelligence and machine learning (AI & ML) present opportunities to develop solutions that cater ...
Frontiers

A framework for identification and classification of liver diseases based on machine learning algorithms

Hepatocellular carcinoma (HCC) is one of the most commonly seen liver disease. Most of HCC patients are diagnosed as Hepatitis B related cirrhosis simultaneously, especially in Asian countries. HCC is ...
AAAS

Science NetLinks

We apologize that the Science NetLinks website is unavailable. Unfortunately, the server and website became unstable and a security risk so the website needed to be taken down immediately. We ...
IEEE

Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition

Abstract: Multi-label image recognition is a practical and challenging task compared to single-label image classification. However, previous works may be suboptimal because of a great number of object ...