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2. ImageJ - Wikipedia

   en.wikipedia.org/wiki/ImageJ

   Custom acquisition, analysis and processing plugins can be developed using ImageJ's built-in editor and a Java compiler. User-written plugins make it possible to solve many image processing and analysis problems, from three-dimensional live-cell imaging [ 6 ] to radiological image processing, [ 7 ] multiple imaging system data comparisons [ 8 ...

3. VIPS (software) - Wikipedia

   en.wikipedia.org/wiki/VIPS_(software)

   The software has two main parts: libvips is the image-processing library and nip2 is the graphical user-interface. The GUI aims to be about half-way between Photoshop and Excel . It is not designed for tasks such as retouching photographs, but more useful for the many other imaging tasks that programs like Photoshop are used for.

4. Medical image computing - Wikipedia

   en.wikipedia.org/wiki/Medical_image_computing

   Medical image computing typically operates on uniformly sampled data with regular x-y-z spatial spacing (images in 2D and volumes in 3D, generically referred to as images). At each sample point, data is commonly represented in integral form such as signed and unsigned short (16-bit), although forms from unsigned char (8-bit) to 32-bit float are ...

5. ITK-SNAP - Wikipedia

   en.wikipedia.org/wiki/ITK-SNAP

   ITK-SNAP is an interactive software application that allows users to navigate three-dimensional medical images, manually delineate anatomical regions of interest, and perform automatic image segmentation.

6. List of open-source health software - Wikipedia

   en.wikipedia.org/wiki/List_of_open-source_health...

   Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [51] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community. [52]

7. Microscope image processing - Wikipedia

   en.wikipedia.org/wiki/Microscope_image_processing

   Microscope image processing is a broad term that covers the use of digital image processing techniques to process, analyze and present images obtained from a microscope. Such processing is now commonplace in a number of diverse fields such as medicine , biological research , cancer research , drug testing , metallurgy , etc.