Archive for July, 2008

Digitization at Utah medical

Thursday, July 31st, 2008

University of Utah has long been a pioneer in the digitization of medical visual resources, under the leadership of the Eccles Health Sciences library. Utah is especially notable for the wide variety of its resources, with strong collections in several basic biomedical and clinical areas. Most of the Eccles digital image ...

Digitization at Yale Medical

Thursday, July 24th, 2008

The Digital Library Collections at Yale Medical Library are notable for several reasons, especially the apparent emphasis that's being given to the effort by the library's administration -- The digital collections section of their website is featured prominently on all of the Collections pages on their site, as shown below. Yale ...

Hardin MD Gallery Collections

Tuesday, July 22nd, 2008

Over the last three years, we have added close to 800 pictures on about 100 diseases/conditions to Hardin MD. As the volume of pictures has grown, providing access to them becomes more difficult. For some time, we have grouped pictures on specific disease conditions into small galleries, each with about 3-12 ...

Digitization at NYPL

Friday, July 18th, 2008

New York Public Library is a rich source of digital resources, both text and images. This is especially interesting because they have done an excellent job in making connections from the library catalog (CATNYP) to digitized resources. Because NYPL is an active participant in Google Books, their recent text digitization efforts ...

Pictures not images

Wednesday, July 16th, 2008

Users of Hardin MD will notice that the word "pictures" is used frequently on our pages and the word "images" is rarely used. Why is this? Basically, the answer is simple -- We use "pictures" because that's the word people use in searching. The screen-shots below, for the Hardin MD : ...

Think Different : Pictures

Friday, July 11th, 2008

As computers have become more powerful, many of the aspects of handling text that were formerly done by humans have been taken over by computers. Pictures, however, are much more difficult to automate -- Recognizing patterns remains a task that humans do much better than computers. A human infant can ...