Search Results for "zend framework 3"

...Key Features: 1. User-Friendly GUI: Clean, professional interface with corporate branding 2. Batch Processing: Automatically finds and merges all SDF files in a selected folder 3. Real-time Progress Tracking: Visual progress bar and status updates during merging Technical Specifications: 1. Language: Python 3 2. GUI Framework: Tkinter 3. Chemistry Library: RDKit for chemical data processing 4. File Formats: Input/Output in SDF format Citation Md. Ismiel Hossen, A. (2026). SDF Merger: A Desktop and Web Tool for Merging Chemical Structure Data Files (v1.1). ...

CueMol - Molecular Visualization Framework based on OpenGL, Mozilla XULRunner, and javascript

Dicom Image Reader is opensource medical image viewer built with JavaScript, HTML5, NodeJS and Electron framework. It can load data in DICOM format (single image dcm) and provides standard tools for its manipulation such as contrast, zoom, drag, possibility to draw regions on top of the image and imaging filters such as threshold and sharpening. It is based DWV JavaScript opensource library. =============== Requirements: - Processor: Intel Pentium 4 processor or later that's SSE2 capable - RAM: 512 MB - Hard Disk: 1500 MB - Video Card: nVidia, ATI and Intel Shader Model 2 and Shader Model 3 video cards with 512 megabytes of RAM minimum - Supported OS: Windows 10, Windows 8, Windows 8.1, Windows 7 =============== Alternative software for Windows: Available on Ecwid - https://goo.gl/twBcAq =============== Android App: https://goo.gl/i4NX9K -------------- Chrome app Release Pro: https://goo.gl/p456N5

As of 2018-06-28, this project has moved to https://github.com/AdamaJava. This copy of the code will remain but all new code updates and releases will be from the new site. Java code developed by the Australian ICGC team for operating on next-generation sequencing data. This code is currently being maintained and expanded by the QIMR Berghofer Genome Informatics team (http://www.qimrberghofer.edu.au/lab/genome-informatics/) More details and documentation can be found on the...

This ohnlp project has released "pipelines" that were contributed by members of the OHNLP Consortium. The pipelines are based on the Apache UIMA framework. medKAT/P, MedCoref, MedTagger, MedXN, and cTAKES are licensed under Apache License V2.0. MedTime is licensed under GNU General Public License version 3.0 (GPLv3). cTAKES development has moved to apache.org. See http://ctakes.apache.org/

Gpf4Med is a graph processing framework for clinical data, which can leverage from previously existing medical database and Cloud computing facilities to address large-scale studies.

This project aims the requirement of managed informations / documents in the treatment of patients, i.e. integrated care. The underlaying data model implements standards of electronic health recording, the project is based on a SQL db and Java EE framework. This is currently a student driven project for educational purposes.

HELEN is a flexible framework to support the computer-based management of Clinical Practice Guidelines (CPG). It covers the whole life-cycle of a guideline, providing methods and tools for each step (from development to clinical use).

dicom related framework and applications in java. The project is divide in 3 parts, the framework, a dicom toolkit, and dicom apps.

vuVolume is a framework for volume rendering algorithms in C++. When creating a new rendering method in vuVolume it is possible to just concentrate on the actual algorithm and let the framework take care of the more administrative tasks.

OpenMedic is a set of open source software and hardware building blocks written in C# for building computer-based medical instrumentation and controls using the .NET framework.

cTAKES is a system for annotating clinical documents, built on the Apache UIMA framework . cTAKES development has moved to apache.org. Please see http:/ctakes.apache.org

A laboratory information management system (LIMS) geared towards academic research groups in the life sciences. Written in Python and using the Django framework, you run this software on your own server.