Work

Feature Selection for Evaluating Fluorescence Microscopy Images in Genome-Wide Cell Screens

Year: 2006

Type: conference-paper

Source: IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI: 10.1109/cvpr.2006.121

Authors: V. Kovalev, N. Harder, B. Neumann, M. Held, U. Liebel, H. Erfle, J. Ellenberg, B. Neumann, R. Eils, K. Rohr

Institutions: German Cancer Research Center, Heidelberg University, European Molecular Biology Laboratory, European Molecular Biology Laboratory, European Molecular Biology Laboratory, European Molecular Biology Laboratory, European Molecular Biology Laboratory

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

Funder: Deutsches Krebsforschungszentrum

OpenAlex ID: W2099148320

FWCI: 8.376

Cites: 30

Cited by: 17

Related to: 10