You Should Use Regression to Detect Cells

Philipp Kainz, Martin Urschler, Samuel Schulter, Paul Wohlhart, Vincent Lepetit

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

Automated cell detection in histopathology images is a hard problem due to the large variance of cell shape and appearance. We show that cells can be detected reliably in images by predicting, for each pixel location, a monotonous function of the distance to the center of the closest cell. Cell centers can then be identified by extracting local extremums of the predicted values. This approach results in a very simple method, which is easy to implement. We show on two challenging microscopy image datasets that our approach outperforms state-of-the-art methods in terms of accuracy, reliability, and speed. We also introduce a new dataset that we will make publicly available.
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2015
Subtitle of host publication18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III
EditorsNassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi
PublisherSpringer International Publishing AG
Pages276-283
Volume9351
ISBN (Electronic)978-3-319-24574-4
ISBN (Print)978-3-319-24573-7
DOIs
Publication statusPublished - 2015

Publication series

NameLecture Notes in Computer Science

Fingerprint

Microscopic examination
Pixels

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

Cooperations

  • BioTechMed-Graz

Cite this

Kainz, P., Urschler, M., Schulter, S., Wohlhart, P., & Lepetit, V. (2015). You Should Use Regression to Detect Cells. In N. Navab, J. Hornegger, W. M. Wells, & A. F. Frangi (Eds.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III (Vol. 9351, pp. 276-283). (Lecture Notes in Computer Science). Springer International Publishing AG . https://doi.org/10.1007/978-3-319-24574-4_33

You Should Use Regression to Detect Cells. / Kainz, Philipp; Urschler, Martin; Schulter, Samuel; Wohlhart, Paul; Lepetit, Vincent.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III. ed. / Nassir Navab; Joachim Hornegger; William M. Wells; Alejandro F. Frangi. Vol. 9351 Springer International Publishing AG , 2015. p. 276-283 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Kainz, P, Urschler, M, Schulter, S, Wohlhart, P & Lepetit, V 2015, You Should Use Regression to Detect Cells. in N Navab, J Hornegger, WM Wells & AF Frangi (eds), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III. vol. 9351, Lecture Notes in Computer Science, Springer International Publishing AG , pp. 276-283. https://doi.org/10.1007/978-3-319-24574-4_33
Kainz P, Urschler M, Schulter S, Wohlhart P, Lepetit V. You Should Use Regression to Detect Cells. In Navab N, Hornegger J, Wells WM, Frangi AF, editors, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III. Vol. 9351. Springer International Publishing AG . 2015. p. 276-283. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-24574-4_33
Kainz, Philipp ; Urschler, Martin ; Schulter, Samuel ; Wohlhart, Paul ; Lepetit, Vincent. / You Should Use Regression to Detect Cells. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III. editor / Nassir Navab ; Joachim Hornegger ; William M. Wells ; Alejandro F. Frangi. Vol. 9351 Springer International Publishing AG , 2015. pp. 276-283 (Lecture Notes in Computer Science).
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