Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Kallenberg, Michiel"'
Autor:
Kallenberg, Michiel G. J., Maestrini, Bernardo, van Bree, Ron, Ravensbergen, Paul, Pylianidis, Christos, van Evert, Frits, Athanasiadis, Ioannis N.
Crop yield prediction typically involves the utilization of either theory-driven process-based crop growth models, which have proven to be difficult to calibrate for local conditions, or data-driven machine learning methods, which are known to requir
Externí odkaz:
http://arxiv.org/abs/2307.13466
Autor:
Winkel, Rikke Rass, Euler-Chelpin, My von, Lynge, Elsebeth, Diao, Pengfei, Lillholm, Martin, Kallenberg, Michiel, Forman, Julie Lyng, Nielsen, Michael Bachmann, Uldall, Wei Yao, Nielsen, Mads, Vejborg, Ilse
Publikováno v:
In Cancer Epidemiology August 2017 49:53-60
Publikováno v:
Environmental Data Science; 2023, Vol. 2, p1-12, 12p
Publikováno v:
Bosmans, H. (ed.), IWBI2020, 1+. Washington : SPIE
STARTPAGE=1+;ISSN=0277-786X;TITLE=Bosmans, H. (ed.), IWBI2020
Bosmans, H. (ed.), IWBI2020, pp. 1
STARTPAGE=1+;ISSN=0277-786X;TITLE=Bosmans, H. (ed.), IWBI2020
Bosmans, H. (ed.), IWBI2020, pp. 1
Semantic segmentation of breast images is typically performed as a preprocessing step for breast cancer detection by Computer Aided Diagnosis (CAD) systems. While most literature on region segmentation is based on conventional techniques like line es
Autor:
Wanders, Johanna, Gils, Carla Van, Karssemeijer, Nico, Holland, Katharina, Kallenberg, Michiel, Peeters, Petra, Nielsen, Mads, Lillholm, Martin
Table S5. Texture measures in combination with breast density and interval breast cancer risk. (DOCX 15Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a627d7c648df87da377af9fbba8eb5e
Autor:
Wanders, Johanna, Gils, Carla Van, Karssemeijer, Nico, Holland, Katharina, Kallenberg, Michiel, Peeters, Petra, Nielsen, Mads, Lillholm, Martin
Table S1. Texture measures in combination with breast density and breast cancer risk. (DOCX 16Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d287d000fcedd9bd131e1a85b4331c16
Autor:
Wanders, Johanna, Gils, Carla Van, Karssemeijer, Nico, Holland, Katharina, Kallenberg, Michiel, Peeters, Petra, Nielsen, Mads, Lillholm, Martin
Table S2. The association between breast measures and screen-detected breast cancer risk. (DOCX 17Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a24bd9a92c0b4feb5a75c90299fe857
Autor:
Wanders, Johanna, Gils, Carla Van, Karssemeijer, Nico, Holland, Katharina, Kallenberg, Michiel, Peeters, Petra, Nielsen, Mads, Lillholm, Martin
Table S3. Texture measures in combination with breast density and screen-detected breast cancer risk. (DOCX 16Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::730817cafb3e7a3e4a453ce83208649b
Autor:
Wanders, Johanna, Gils, Carla Van, Karssemeijer, Nico, Holland, Katharina, Kallenberg, Michiel, Peeters, Petra, Nielsen, Mads, Lillholm, Martin
Table S4. The association between breast measures and interval breast cancer risk. (DOCX 17Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b0a38d6e5b58c4cfd516d518fc5eb50
Autor:
Pai, Akshay, Teng, Yuan-Ching, Blair, Joseph, Kallenberg, Michiel, Dam, Erik B., Sommer, Stefan, Igel, Christian, Nielsen, Mads
Publikováno v:
In Deep Learning for Medical Image Analysis 2017:223-242