Search Results for "computer-aided software engineering" - Page 2
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Showing 35 open source projects for "computer-aided software engineering"
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iGluco imports and displays readings from the Lifescan Onetouch Ultra 2 Meter. The project aims to provide useful functionality for analysing glucose levels over time, in a simple, user-friendly package.
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ThoughtFlow-Sys is a new computer neuropsychological test developed in Python to study the verbal expression of thought flow, using a modification of Jung´s Word-Association Test. © 2008 - UNIFESP / Rodrigo C. Vertulo / Prof. Dr. Carlos J. R. Campos
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A feature rich Open Source Core Electronic Medical Record for small medical providers developed with Plone/ Python/ Zope. Core EMR functionalities: Patient History, Past Visits, Rx, Health Maint., Allergies, Labs, Vitals, Notes, and Procedures.
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QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.
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PyPeriod is a software for register and control woman's periods. This show the days passed from the last period, the average of days of periods and the period history. This is useful for womans who need checking often hers periods for health reasons.
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Mainly a browser for medical patients documents. For now, it works for displaying radiology images in DICOM format. It supports Query/Retrieve. Build on Python, wxPython and ZODB.
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Computer Controlled Optical Microscopy is a package to enable camera equipped microscopes to generate multi-modal time-lapse image sequences of 3D volumes. This is achieved by periodically changing optical settings, xyz positions and acquiring images.
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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.
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The 3D Slicer is freely available, open-source software for visualization, registration, segmentation, and quantification of medical image data. Follow the link for more info: http://slicer.org