AI Medical Compendium Journal:
IEEE computer graphics and applications

Showing 1 to 10 of 17 articles

Understanding and Explaining Diagnostic Paths: Toward Augmented Decision Making.

IEEE computer graphics and applications
The process of finding a diagnosis in the medical domain relies on implicit knowledge and the experience of a human expert. In this article, we report on the observation of human decision making, shown by the example of pathology. By tracking the dia...

Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens.

IEEE computer graphics and applications
Technical textiles, in particular, nonwovens used, for example, in medical masks, have become increasingly important in our daily lives. The quality of these textiles depends on the manufacturing process parameters that cannot be easily optimized in ...

Through the Looking Glass: Insights Into Visualization Pedagogy Through Sentiment Analysis of Peer Review Text.

IEEE computer graphics and applications
Peer review is a widely utilized feedback mechanism for engaging students. As a pedagogical method, it has been shown to improve educational outcomes, but we have found limited empirical measurement of peer review in visualization courses. In additio...

Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising.

IEEE computer graphics and applications
We propose VFR-UFD, a new deep learning framework that performs vector field reconstruction (VFR) for unsteady flow data (UFD). Given integral flow lines (i.e., streamlines), we first generate low-quality UFD via diffusion. VFR-UFD then leverages a c...

Interactive Visualization of Hyperspectral Images Based on Neural Networks.

IEEE computer graphics and applications
It is challenging to interpret hyperspectral images in an intuitive and meaningful way, as they usually contain hundreds of dimensions. We develop a visualization tool for hyperspectral images based on neural networks, which allows a user to specify ...

A Classification Method of Oracle Materials Based on Local Convolutional Neural Network Framework.

IEEE computer graphics and applications
The classification of materials of oracle bone is one of the most basic aspects for oracle bone morphology. However, the classification method depending on experts' experience requires long-term learning and accumulation for professional knowledge. T...

Designing Intelligent Tools for Creative People.

IEEE computer graphics and applications
With artificial intelligence (AI) poised to transform the nature of creative media, it is especially important to design tools with the creative process in mind. While ample research demonstrates the importance of flow, playfulness, and exploration f...

SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level.

IEEE computer graphics and applications
Understanding the interpretation of machine learning (ML) models has been of paramount importance when making decisions with societal impacts, such as transport control, financial activities, and medical diagnosis. While local explanation techniques ...

Technology Trends and Challenges for Large-Scale Scientific Visualization.

IEEE computer graphics and applications
Scientific visualization is a key approach to understanding the growing massive streams of data from scientific simulations and experiments. In this article, I review technology trends including the positive effects of Moore's law on science, the sig...