Morning Overview on MSN

17-year-old builds AI tool to speed malaria and blood-disease diagnosis

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...
Devdiscourse

From crisis to control: AI flags cattle diseases before outbreaks explode

The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...
IEEE

A Wavelet Enhanced Deep Learning Model for Mineral Image Classification: WFeedNet

Abstract: The classification of minerals is of critical importance in many fields such as geology, mining, environmental engineering, and materials engineering. Accurate mineral identification ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...