itk.org

ITK is a cross-platform, open-source application development framework widely used for the development of image segmentation and image registration programs. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with an MRI scan in order to combine the information contained in both. More information...

Multilingual Wikipedia

In June 2020 the website itk.org was on the 92,008th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 611,807th place in June 2020. From Wikipedians' point of view, "itk.org" is the 279,490th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before theshadowlands.net and after megrock.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
92,008th place
215,395
-27,518
AR-score:
279,490th place
7,991
-1,380
F-score:
611,807th place
7
+1

English Wikipedia (en)

PR-score:
52,922nd place
203,010
-24,997
AR-score:
157,547th place
6,695
0
F-score:
491,922nd place
3
0

German Wikipedia (de)

PR-score:
85,295th place
11,384
-1,872
AR-score:
149,146th place
1,246
-1,380
F-score:
145,177th place
3
+1

Ukrainian Wikipedia (uk)

PR-score:
40,933rd place
1,000
-650
AR-score:
114,362nd place
50
0
F-score:
138,480th place
1
0

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...