Tag Archives: HTML5

LEAD to Showcase Upcoming LEADTOOLS Version 20 at RSNA

As always, LEAD will be exhibiting this year at the RSNA Annual Meeting in Chicago. The theme of RSNA 2017, Explore. Invent. Transform, invites attendees to investigate and advance radiology through innovation as a means of creating positive impact on … Continue reading

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Speed and Accuracy Optimizations for LEADTOOLS Document and Medical Imaging Technologies

LEAD keeps pushing the limits with LEADTOOLS Version 19 and has released another update full of speed and accuracy optimizations throughout the product line. Though speed and accuracy is a major theme throughout this update, it isn’t the only notable … Continue reading

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Building a Document from Multiple Files with the new LEADTOOLS Document Composer

As a part of the recent Version 19 updates, we added a new virtual document feature to the Document Viewer. The LEADTOOLS Document Composer interface makes it easy to compose a virtual document on the fly from any number of … Continue reading

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DICOM Hanging Protocol and More Coming in Q1 2017

2017 is already shaping up to be a great year as LEADTOOLS has a lotĀ of exciting features and enhancements to share. Today we’re going to introduce to you some of the upcoming updates to LEADTOOLS V19 Document and Medical technologies … Continue reading

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Using ID Recognition to Increase Security

One of our favorite things to do at LEAD is be a part of making the world a better place to live through our technologies. As an SDK company, we enjoy a much broader reach than our local community since … Continue reading

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Faster Loading of Large Series in HTML5/JavaScript Medical Viewer

As we continue down the road from our recent LEADTOOLS Version 19 April Update, we are particularly excited about the enhancement we’re going into more detail about today. As you might see from the title, our engineers were able to … Continue reading

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Medical and Web Technology: Perfect Match with LEADTOOLS

At first glance, medical imaging technology and web may appear to be incompatible technologies because of non-standard medical-image bit depths and the huge amount of data associated with even just one DICOM dataset. However, as demonstrated with this last release, … Continue reading

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