Weasis is a multipurpose standalone and web-based DICOM viewer with a highly modular architecture. It is a very popular clinical viewer used in healthcare by hospitals, health networks, multicenter research trials, and patients.
Flexible integration with any PACS, RIS, HIS or PHR can be done with the DICOM and DICOMWeb standard interface. It allows high-quality renderings with high performance through the OpenCV library.
It has been designed to meet several expectations of clinical information systems and their future evolution regarding medical imaging: providing web-based access to radiological images, as well as covering a considerable number of DICOM types and offering multimedia capabilities.
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Based on our record, Matplotlib seems to be a lot more popular than Weasis. While we know about 98 links to Matplotlib, we've tracked only 1 mention of Weasis. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Matplotlib: for displaying our image result. - Source: dev.to / about 1 month ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
Currently I use my laptop mostly for document and sheet editing, internet browsing, PDF reading and DICOM image viewing. I mainly use Radiant and Weasis for the latter. Source: almost 2 years ago
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
MicroDicom - DICOM viewer. MicroDicom is a free DICOM viewer. Export to the most common picture formats, movie, clipboard. It is equipped with most common tools for manipulation of DICOM images.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Horos - A free, open source 64-bit DICOM medical image viewer
Plotly - Low-Code Data Apps
3D Slicer - Slicer is a community platform created for the purpose of subject specific image analysis and...