Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation

Vesal S, Diaz-Pinto A, Ravikumar N, Ellmann S, Davari A, Maier A (2017)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: tbd

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

Event location: Atlanta, Georgia, USA

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Vesal17-SAF.pdf

Authors with CRIS profile

Sulaiman Vesal Lehrstuhl für Informatik 5 (Mustererkennung) Nishant Ravikumar Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME) Stephan Ellmann Institute of Radiology Amirabbas Davari Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Related research project(s)

Development of multi-modal, multi-scale imaging framework for the early diagnosis of breast cancer March 1, 2017 - June 30, 2020

How to cite

APA:

Vesal, S., Diaz-Pinto, A., Ravikumar, N., Ellmann, S., Davari, A., & Maier, A. (2017). Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (pp. tbd). Atlanta, Georgia, USA.

MLA:

Vesal, Sulaiman, et al. "Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation." Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC), Atlanta, Georgia, USA 2017. tbd.

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