Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,771 to 1,780 of 165,003 articles

Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Although there have been notable advancements in video compression technologies in recent years, banding artifacts remain a serious issue affecting the quality of compressed videos, particularly on smooth regions of high-definition videos. Noticeable... read more 

LAMA-Net: A Convergent Network Architecture for Dual-Domain Reconstruction

arXiv
We propose a learnable variational model that learns the features and leverages complementary information from both image and measurement domains for image reconstruction. In particular, we introduce a learned alternating minimization algorithm (LA... read more 

An efficient IoT-based crop damage prediction framework in smart agricultural systems.

Scientific reports
This paper introduces an efficient IoT-based framework for predicting crop damage within smart agricultural systems, focusing on the integration of Internet of Things (IoT) sensor data with advanced machine learning (ML) and ensemble learning (EL) te... read more 

Moiré Zero: An Efficient and High-Performance Neural Architecture for Moiré Removal

arXiv
Moir\'e patterns, caused by frequency aliasing between fine repetitive structures and a camera sensor's sampling process, have been a significant obstacle in various real-world applications, such as consumer photography and industrial defect inspec... read more 

LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing

arXiv
Fashion design is a complex creative process that blends visual and textual expressions. Designers convey ideas through sketches, which define spatial structure and design elements, and textual descriptions, capturing material, texture, and stylist... read more 

Pre-trained Models Perform the Best When Token Distributions Follow Zipf's Law

arXiv
Tokenization is a fundamental step in natural language processing (NLP) and other sequence modeling domains, where the choice of vocabulary size significantly impacts model performance. Despite its importance, selecting an optimal vocabulary size r... read more 

Nurses perceptions and use of artificial intelligence in healthcare.

Scientific reports
The integration of artificial intelligence (AI) in nursing care is an important professional issue. However, few studies have investigated the knowledge, attitudes, application, and acceptance of artificial intelligence in nursing care. This study ai... read more 

Trabecular bone analysis: ultra-high-resolution CT goes far beyond high-resolution CT and gets closer to micro-CT (a study using Canon Medical CT devices).

Skeletal radiology
OBJECTIVE: High-resolution CT (HR-CT) cannot image trabecular bone due to insufficient spatial resolution. Ultra-high-resolution CT may be a valuable alternative. We aimed to describe the accuracy of Canon Medical HR, super-high-resolution (SHR), and... read more 

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning

arXiv
Prompt-based continual learning provides a rehearsal-free solution by tuning small sets of parameters while keeping pre-trained models frozen. To meet the complex demands of sequential tasks, it is crucial to integrate task-specific knowledge withi... read more