What's new in VintaSoft Imaging .NET SDK 12.5:
- .NET development
- RAW-image codec:
- Added the ability to decode images from .CR3-files (Canon), .ARW-files (Sony) and .RW2-files (Panasonic) using "libraw" library.
- Improved the algorithm for decoding .NEF- and .NRW-files (Nikon).
- Improved the algorithm for decoding .CR2- and .CRW-files (Canon).
- Improved the algorithm for decoding .DNG-files.
- Fixed several non-critical bugs.
- RAW-image codec:
What's new in VintaSoft DICOM .NET Plug-in 5.5:
- .NET development
- Added the ability to render, view and print electrocardiogram from DICOM file:
- render and print electrocardiogram
- view electrocardiogram in WinForms/WPF image viewer
- measure and highlight electrocardiogram data in WinForms/WPF image viewer
- save electrocardiogram in vector form to PDF document or SVG image.
- Created the WinForms/WPF-control "DicomSeriesManagerControl" that allows to display information about DICOM series, which are sorted by patient and study.
- Added the ability to change pixel data of DICOM image to the 24-bpp color image and save changed DICOM image to a new DICOM file.
- Added the ability to burn annotations and measurements to DICOM image.
- Significantly improved performance of algorithm that parses structure of DICOM file.
- Significantly decreased memory when working with DICOM files.
- Demo-applications:
- Created new demo-application "ECG Viewer Demo" for WinForms and WPF. Demo-application allows to view electrocardiogram from DICOM file.
- Added many improvements in demo-applications "DICOM Viewer Demo" and "DICOM MPR Viewer Demo" for WinForms and WPF.
- Added the ability to render, view and print electrocardiogram from DICOM file:
- Web development
- Created JavaScript UI-control "WebDicomControlJS" that allows to view DICOM images in HTML5 web browser:
- JavaScript UI control can work in all major HTML5 web browsers
- User interface is compatible with personal computers, tablets and smartphones
- Load existing DICOM files
- View DICOM images
- Display information about DICOM images, which are sorted by patient, study, series
- View DICOM images in web DICOM viewer
- Show DICOM metadata over image in web DICOM viewer
- Browse DICOM images in web DICOM viewer using mouse
- Change the window level of DICOM image in web DICOM viewer using mouse
- Zoom DICOM image in web DICOM viewer using mouse
- Measure objects (line, polyline, ellipse, angle, cross) on DICOM image in web DICOM viewer using mouse
- "Standard" dialogs (view DICOM metadata, ...) for Bootstrap and JQuery UI
- User interface can be customized
- User interface is available in 45 languages and can be easily translated into any language
- Created JavaScript UI-control "WebDicomSeriesManagerControlJS" that allows to display information about DICOM series, which are sorted by patient and study, in HTML5 web browser.
- Demo-applications:
- Created new demo application "DICOM Viewer Demo" for ASP.NET Core, ASP.NET Core + Angular, ASP.NET MVC5, ASP.NET WebForms. Demo-application allows to view DICOM images in ASP.NET.
- Created JavaScript UI-control "WebDicomControlJS" that allows to view DICOM images in HTML5 web browser:
What's new in VintaSoft Office .NET Plug-in 4.5:
- .NET development
- Added the support for new chart types: Radar, 3D Pie, Surface.
- Now PDF-to-DOCX converter can determine header and footer sections on PDF page and create appropriate sections in the converted DOCX document.
- Added many improvements in algorithm that renders Excel chart.
- Fixed many minor bugs.
What's new in VintaSoft Document Cleanup .NET Plug-in 7.5:
- .NET development
- Added new image processing command - DottedLineRemovalCommand, which allows to remove the horizontal dotted lines from an image.
What's new in VintaSoft OCR .NET Plug-in 7.5:
- .NET development
- Added the ability to recognize a line of handwritten digits using neural network based on Microsoft.ML.
- Fixed minor bugs.
What's new in VintaSoft Forms Processing .NET Plug-in 5.5:
- .NET development
- Now OCR-fields can contain a line of handwritten digits, which is recognized using the neural network based on Microsoft.ML.
- Demo-applications
- Now "Forms Processing Demo" demo application allows to recognize handwritten digits in OCR-field of filled form.
