Visual Analytics for Hypothesis-Driven Exploration in Computational Pathology.

Autor: Corvo A, Caballero HSG, Westenberg MA, van Driel MA, van Wijk JJ

Publikováno v: IEEE transactions on visualization and computer graphics [IEEE Trans Vis Comput Graph] 2021 Oct; Vol. 27 (10), pp. 3851-3866. Date of Electronic Publication: 2021 Sep 01.

Global Problem of Hospital Detention Practices.

Autor: Handayani K; Faculty of Medicine, Universitas Gadjah Mada, Dr. Sardjito Hospital, Yogyakarta, Indonesia., Sijbranda TC; Amsterdam University Medical Center, VU University, Amsterdam, The Netherlands., Westenberg MA; Amsterdam University Medical Center, VU University, Amsterdam, The Netherlands., Rossell N; Amsterdam Institute for Social Science Research, University of Amsterdam, Amsterdam, The Netherlands.; Department of Oncology, Benjamin Bloom Hospital, San Salvador, El Salvador., Sitaresmi MN; Faculty of Medicine, Universitas Gadjah Mada, Dr. Sardjito Hospital, Yogyakarta, Indonesia., Kaspers GJ; Amsterdam University Medical Center, VU University, Amsterdam, The Netherlands.; Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands., Mostert S; Amsterdam University Medical Center, VU University, Amsterdam, The Netherlands.; Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.

Publikováno v: International journal of health policy and management [Int J Health Policy Manag] 2020 Aug 01; Vol. 9 (8), pp. 319-326. Date of Electronic Publication: 2020 Aug 01.

Gaussian-weighted moving-window robust automatic threshold selection

Autor: Wilkinson, Michael H.F., Petkov, N, Westenberg, MA

Publikováno v: COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS, 369-376
STARTPAGE=369;ENDPAGE=376;TITLE=COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS

A multi-scale, moving-window method for local thresholding based on Robust Automatic Threshold Selection (RATS) is developed. Using a model for the noise response of the optimal edge detector in this context, the reliability of thresholds computed at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::2bfa9f375af0e97f05ee3d1ce35039b1
https://research.rug.nl/en/publications/35918819-00b4-44bb-957e-766729988b5d

Automatic segmentation of diatom images

Autor: Jalba, Andrei C., Roerdink, Jos B.T.M., Petkov, N, Westenberg, MA

Publikováno v: COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS, 329-336
STARTPAGE=329;ENDPAGE=336;TITLE=COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS

In this paper we present a segmentation technique based on tools from mathematical morphology which can be successfully used for automatic segmentation of diatom images. The proposed method belongs to the class of hybrid segmentation techniques, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9a139452f72855e1e97556ef48ae95a4
https://research.rug.nl/en/publications/4644bc30-6184-4df5-9eb1-da017a44db52

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.