This is the Linux app named SimpleITK whose latest release can be downloaded as SimpleITK-2.5.2-CSharp-linux_x86_64.zip. It can be run online in the free hosting provider OnWorks for workstations.
قم بتنزيل وتشغيل هذا التطبيق المسمى SimpleITK مع OnWorks عبر الإنترنت مجانًا.
اتبع هذه التعليمات لتشغيل هذا التطبيق:
- 1. قم بتنزيل هذا التطبيق على جهاز الكمبيوتر الخاص بك.
- 2. أدخل في مدير الملفات الخاص بنا https://www.onworks.net/myfiles.php؟username=XXXXX باسم المستخدم الذي تريده.
- 3. تحميل هذا التطبيق في هذا الملف.
- 4. ابدأ تشغيل OnWorks Linux عبر الإنترنت أو محاكي Windows عبر الإنترنت أو محاكي MACOS عبر الإنترنت من هذا الموقع.
- 5. من نظام تشغيل OnWorks Linux الذي بدأته للتو ، انتقل إلى مدير الملفات الخاص بنا https://www.onworks.net/myfiles.php؟username=XXXXX مع اسم المستخدم الذي تريده.
- 6. قم بتنزيل التطبيق وتثبيته وتشغيله.
SCREENSHOTS
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SimpleITK
الوصف
SimpleITK is an image analysis toolkit with a large number of components supporting general filtering operations, image segmentation and registration. It is built on top of the Insight Segmentation and Registration Toolkit ITK with the intent of providing a simplified interface to ITK. SimpleITK itself is written in C++ but is available for a large number of programming languages. Wrapping of the C++ code is accomplished through SWIG, in principle, any language wrapped by SWIG should be applicable to SimpleITK. Unlike ITK's support of n-dimensional spatio-temporal images, SimpleITK supports 2D, 3D and 4D images. The dimensionality refers to spatiotemporal dimensions, the voxels can be n-dimensional vectors. Open-source multi-dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++. Developed by the Insight Toolkit community for the biomedical sciences and beyond.
شرح المميزات:
- Computations are performed in physical space, 2D or 3D
- Registration framework for fast alignment of 2D and 3D intra and inter-modality images using rigid or deformable transformations
- An abundance of filters for image segmentation workflows
- Tools for evaluating segmentation results
- Analyze the segmented shape characteristics
- Image file I/O that support more than 20 image file formats
- Readily integrated into parallel processing frameworks
لغة البرمجة
C + +
التصنيفات
This is an application that can also be fetched from https://sourceforge.net/projects/simpleitk.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
