Comparative evaluation of support vector machine classification for computer aided detection of breast masses in mammography.

Autor: Lesniak, J. M., Hupse, R., Blanc, R., Karssemeijer, N., Székely, G.

Publikováno v: Physics in Medicine & Biology; 8/21/2012, Vol. 57 Issue 16, p5295-5307, 13p

TR-BI-RADS: a novel dataset for BI-RADS based mammography classification.

Autor: Ülgü, Mustafa Mahir¹ (AUTHOR), Zalluhoglu, Cemil² (AUTHOR) cemil@cs.hacettepe.edu.tr, Birinci, Suayip³ (AUTHOR), Yarbay, Yasin¹ (AUTHOR), Sezer, Ebru Akcapinar² (AUTHOR)

Publikováno v: Neural Computing & Applications. Mar2024, Vol. 36 Issue 7, p3699-3709. 11p.

Computer-aided detection of masses at mammography: interactive decision support versus prompts.

Autor: Hupse R; Department of Radiology, Diagnostic Image Analysis Group, Radboud University Nijmegen Medical Centre, Geert Grooteplein-Zuid 10, Route 667, Postbus 9101, 6500 HB Nijmegen, The Netherlands. a.hupse@rad.umcn.nl, Samulski M, Lobbes MB, Mann RM, Mus R, den Heeten GJ, Beijerinck D, Pijnappel RM, Boetes C, Karssemeijer N

Publikováno v: Radiology [Radiology] 2013 Jan; Vol. 266 (1), pp. 123-9. Date of Electronic Publication: 2012 Oct 22.

Use of normal tissue context in computer-aided detection of masses in mammograms.

Autor: Hupse R; Radiology Department of Radboud University Nijmegen Medical Centre, 6525 GA, Nijmegen, The Netherlands.a.hupse@rad.umcn.nl, Karssemeijer N

Publikováno v: IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2009 Dec; Vol. 28 (12), pp. 2033-41. Date of Electronic Publication: 2009 Aug 07.

Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence software.

Autor: Kim, Hee Jeong, Choi, Woo Jung, Gwon, Hye Yun, Jang, Seo Jin, Chae, Eun Young, Shin, Hee Jung, Cha, Joo Hee, Kim, Hak Hee

Publikováno v: European Radiology; Jun2024, Vol. 34 Issue 6, p3924-3934, 11p