Robust Seed Mask Generation for Interactive Image Segmentation

Amrehn M, Steidl S, Kowarschik M, Maier A (2017)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: 1-3

Conference Proceedings Title: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

Event location: Atlanta, Georgia US

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Amrehn17-RSM.pdf

Open Access Link: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Amrehn17-RSM.pdf

Abstract

In interactive medical image segmentation, anatomical structures are extracted from reconstructed volumetric images. The first iterations of user interaction traditionally consist of drawing pictorial hints as an initial estimate of the object to extract. Only after this time consuming first phase, the efficient selective refinement of current segmentation results begins. Erroneously labeled seeds, especially near the border of the object, are challenging to detect and replace for a human and may substantially impact the overall segmentation quality. We propose an automatic seeding pipeline as well as a configuration based on saliency recognition, in order to skip the time-consuming initial interaction phase during segmentation. A median Dice score of 68.22% is reached before the first user interaction on the test data set with an error rate in seeding of only 0.088%.

Authors with CRIS profile

Mario Amrehn Lehrstuhl für Informatik 5 (Mustererkennung) Stefan Steidl Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Siemens AG, Healthcare Sector DE Germany (DE)

How to cite

APA:

Amrehn, M., Steidl, S., Kowarschik, M., & Maier, A. (2017). Robust Seed Mask Generation for Interactive Image Segmentation. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (pp. 1-3). Atlanta, Georgia, US.

MLA:

Amrehn, Mario, et al. "Robust Seed Mask Generation for Interactive Image Segmentation." Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Atlanta, Georgia 2017. 1-3.

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