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Record
Title
Segmentation in Skeletal Scintigraphy Images using Convolutional Neural Networks
Type
Student Paper
Publ. year
2017
Author/s
Gjertsson, Konrad
Department/s
Mathematics (Faculty of Engineering)
In LUP since
2017-06-22
Downloads

Total This Year This Month
925 50 1
Downloads per country

United States of America 178 (19%)
Sweden 106 (11%)
Germany 83 (9%)
China 80 (9%)
France 40 (4%)
South Korea 36 (4%)
Unknown 33 (4%)
India 31 (3%)
Japan 28 (3%)
Iran 24 (3%)
Spain 24 (3%)
Russian Federation 20 (2%)
Indonesia 17 (2%)
Taiwan (China) 16 (2%)
Italy 15 (2%)
United Kingdom of Great Britain and Northern Ireland 13 (1%)
Saudi Arabia 12 (1%)
Netherlands (Kingdom of the) 11 (1%)
Brazil 11 (1%)
Poland 9 (1%)
Turkiye 8 (1%)
Pakistan 8 (1%)
Canada 8 (1%)
Iraq 7 (1%)
Thailand 7 (1%)
Australia 6 (1%)
Romania 6 (1%)
Hong Kong (China) 6 (1%)
Jordan 6 (1%)
Algeria 5 (1%)
Switzerland 4 (0%)
Philippines 4 (0%)
Greece 4 (0%)
Singapore 4 (0%)
Portugal 3 (0%)
Egypt 3 (0%)
Denmark 3 (0%)
Malaysia 3 (0%)
Austria 3 (0%)
Morocco 3 (0%)
Tunisia 3 (0%)
Malta 2 (0%)
Ireland 2 (0%)
Ethiopia 2 (0%)
Serbia 2 (0%)
Mexico 2 (0%)
Belgium 2 (0%)
South Africa 2 (0%)
Peru 2 (0%)
Israel 2 (0%)
Bolivia 1 (0%)
Kenya 1 (0%)
Belarus 1 (0%)
Bangladesh 1 (0%)
Viet Nam 1 (0%)
Slovenia 1 (0%)
Finland 1 (0%)
Ukraine 1 (0%)
Nigeria 1 (0%)
Moldova, The Republic of 1 (0%)
Colombia 1 (0%)
Burundi 1 (0%)
Panama 1 (0%)
Czechia 1 (0%)
Hungary 1 (0%)
Guadeloupe 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Mon Jul 14 08:34:54 2025