Open Source Java Medical Software for ChromeOS - Page 7

Frida is image analysis software. Frida was developed by the Johns Hopkins University Tissue Microarray Core Facility. It is open source and written in 100% Java. Frida makes use of functionality from the NIH's ImageJ application. Note: Frida was integr

Healthcare Xchange Protocol for interoperative communications. Data exchange/transfer, platform independent,XML-RPC, HL7, SOAP, EDIFACT, simple,easy, authenticated, secure, transparent, no geo-restrictions, open sourced, peer reviewed, collab development

Software for three-dimensional visualization of DICOM images based on java

medSLT - The Medical Speech Translator

A numerical library designed for n-dimensional image-processing written in Java.

neochip is a collection of algorithms for high-density oligonucleotide microarrays. The current version contains heuristic algorithms that attempt to improve the quality of arrays by re-designing their layout (the location of the probes on the chip).

openSputnik is a robust distributed platform for massive scale precalculation of genetic and genomic data using contemporary bioinformatics methods. Annotated DNA, RNA and protein sequences are stored as binary objects in a variery of relational database

Web based application that manage the ability of hospitals to host not specialized doctors.

unGrid is an open source framework for distributed medical imaging. The system consists of a computing grid that harnesses idle CPU cycles from existing workstations, and a framework to execute jobs on that grid.

As a medical blogger, I felt that there is a need for platform-independent medical dictionary. Hence 'java 8'. The dictionary must be customizable ie. user should be able to add, delete words. Hence, the use of text file for medical data, instead of xml or some database or sql or some hard-to-understand things. Java 8 can be invoked even from usb pen drives. We have used only one .java file which contains the main class. Compiling it yielded only two classes. Thus simplicity is maintained, without any frills. This medical mini dictionary has only some 10,00 sample words, available on internet freely. The data text file and the classes ARE NOT TO BE COMMERCIALISED. User can go on adding his own words by using a text editor such as geany or gedit.