Medical Image Viewer (MIView) With License Code Free Download [Mac/Win] Medical Image Viewer (MIView) Crack Mac is a lightweight medical image viewer based on OpenGL that comes with support for DICOM anonymizer and file conversion tasks. It is Java-based so you need to previously deploy the working environment on your computer. Supported file formats MIView works with various file formats, namely DCM, ACR, PAP, IMG, HDR, GIF, TIFF, PNG, BMP, and JPEG. You can open only the selected file or all items in the folder with the same extension, automatically detect the file format, and set up DICOM mosaic options (size and number of slices). Viewing options MIView provides a coherent feature structure where you can add files in the working environment using the built-in browse button (you cannot rely on the drag-and-drop support). You can adjust the zoom level and viewing plane, rotate objects to different angles, and choose between several viewing modes, namely Normal, Orthogonal, Multislice, Maximum Intensity Projection, Surface Shaded Display, and Volume Rendering. The tool provides very good image quality. However, it eats up CPU and memory so the overall performance of the computer may be hampered. MIView is able to retrieve information about the patient (e.g. name, ID, birthdate, series) and image (e.g. size, pixel spacing, type, patient position), show a histogram, as well as display a list with DICOM tags. DICOM anonymizer and conversion tasks You can anonymize multiple files in terms of various criteria, such as patient name, study date, series time, content time, institution name and address, station name, study description, patient’s weight, and operator’s name. When it comes to conversions, you can perform encoding tasks between raster images and 2D/3D DICOM, 2D DICOM mosaic, and 3D/4D NIfTI and ANALYZE files. In addition, you are allowed to set up DICOM tags, specify the saving directory, and configure file naming rules. Conclusions The final verdict is that MIView is all worthy of your attention because it packs useful viewing features for examining medical images. The only problem is that a help manual is not available so you need to decode the program’s features on your own. MIView Comments: It is Medical Image Viewer (MIView) [March-2022] MIView is a medical image viewer based on OpenGL. MIView can open image files in a number of formats, such as DICOM, ACR, PAP, IMG, HDR, GIF, TIFF, PNG, BMP, and JPEG. It also supports DICOM anonymization tasks, image conversions, and displaying of images and their metadata. MIView runs in the Java virtual machine and can be easily deployed on any Windows, Mac, or Linux computer. MIView provides a coherent feature structure where you can add files in the working environment using the built-in browse button. You can adjust the zoom level and viewing plane, rotate objects to different angles, and choose between several viewing modes, such as Normal, Orthogonal, Multislice, Maximum Intensity Projection, Surface Shaded Display, and Volume Rendering. The tool provides very good image quality. However, it eats up CPU and memory so the overall performance of the computer may be hampered. MIView is able to retrieve information about the patient (e.g. name, ID, birthdate, series) and image (e.g. size, pixel spacing, type, patient position), show a histogram, as well as display a list with DICOM tags. It is highly recommended for viewing medical images. What's New - Added ability to add, manipulate, view, and analyze medical images - Added ability to perform DICOM anonymization tasks (e.g. identify patient, doctor, and study) - Added ability to convert between raster and DICOM images - Added ability to convert between DICOM mosaic and image files - Added ability to convert between NIfTI and ANALYZE image files - Added ability to encode and decode 2D DICOM image files - Added ability to encode and decode DICOM mosaic files - Added ability to view medical images in surface-shaded display mode - Added ability to display DICOM tags and patient’s name/ID - Added ability to view patient’s birth date - Added ability to display patient’s weight - Added ability to display patient’s height - Added ability to specify the save directory and file naming rules - Added ability to convert image files in DICOM and DCM formats - Added ability to retrieve image data in ACR, PAP, and HDR formats - Added ability to display maximum intensity projection of three-dimensional image files - Added ability to display orthogonal view of three-dimensional image files - Added ability to rotate three-dimensional image files - Added ability to display volume rendering of three-dimensional image files - Added ability to create cross-sectional and surface-shaded 1a423ce670 Medical Image Viewer (MIView) Reads a list of macros from a file and applies them in the immediate environment. Supported file formats: • Plain ASCII text • XML (default) • PDF (for standard PDF printers) Usage: macro.py [options]... Options: -d DIR —directory where macros are found -e FILENAME —file with macros to apply -i FILE —read macros from a file -m PATTERN —add macros to the current file -o FILE —write macros to a file -p PATTERN —write macros to the current file Macros are separated by newline characters, starting with a leading #. If you want to apply the same macros for several files, use the following command: python macro.py -o output.txt -m macros.txt... E.g.: python macro.py -m macros.txt *.txt If you want to apply macros only for some files and ignore all others, use the following command: python macro.py -o output.txt -e macros.txt /path/to/ignore.txt E.g.: python macro.py -o output.txt -e macros.txt /path/to/others.txt After you are done with the macros, you can save and delete them using the following command: python macro.py -o output.txt -m macros.txt E.g.: python macro.py -o output.txt -m macros.txt 4.3.0.0 11/03/2015 185 downloads Pros: + Quick. + Easy to use. + Quick to install and run. + Valuable for those who are just getting started. Cons: - Hard to learn. - Icons too small to be easily seen. - Image quality is not so good. - No settings. MIView is a small, fast, and easy to use tool that allows you to read and display DICOM files on your computer. It is available for Windows, Linux, and Mac OS. MIView lets you open DICOM files, zoom in, pan around, and add DICOM files to a mosaic. Moreover, the image quality is satisfactory. The only thing you need to do is to set up the desired options. However, the current version of the software is still in its early stages What's New In Medical Image Viewer (MIView)? System Requirements: Windows OS: Windows 7, Windows 8, Windows 8.1, Windows 10 (all versions) Processor: 2.0 GHz (Core 2 Duo, AMD, Intel) or higher Memory: 1GB (recommended) Hard Disk: 16 GB (recommended) Graphics: NVIDIA GeForce 8600/AMD Radeon 8500 or higher (NOT support multi-GPU) Internet Connection: Broadband connection (512KB/s) Software: DirectX 9.0c, DirectDraw 8.1
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