Showing 1 open source project for "matlab medical image processing code"

View related business solutions
  • AI-powered SAST and AppSec platform that helps companies find and fix vulnerabilities. Icon
    AI-powered SAST and AppSec platform that helps companies find and fix vulnerabilities.

    Trusted by 750+ companies and performing 200k+ code scans monthly.

    ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with advanced program analysis to find and automatically fix vulnerabilities.
    Learn More
  • Parasoft: Automated Testing to Deliver Superior Quality Software Icon
    Parasoft: Automated Testing to Deliver Superior Quality Software

    Parasoft provides test automation for every phase of the software development life cycle.

    Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting the embedded, enterprise, and IoT markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft’s award-winning reporting and analytics dashboard provides a centralized view of quality, enabling organizations to deliver with confidence and succeed in today’s most strategic ecosystems and development initiatives—security, safety-critical, Agile, DevOps, and continuous testing.
    Learn More
  • 1

    ApproxAdderLib

    Library of Approximate Adders

    ...These MATALB and Verilog models can allow software programmer as well as hardware designers to evaluate their code and design. To the best of our knowledge, this is the first open-source library of approximate adders that facilitates reproducible comparisons and further research and development in this direction across various layers of design abstraction. This work is a result of collaborative effort between Chair for Embedded Systems (CES) at Karlsruhe Institute of Technology (KIT), Germany and Vision Image and Signal Processing (VISpro) Lab at SEECS-NUST, Pakistan.
    Downloads: 4 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB