Deep keypoint detection for the aesthetic evaluation of breast cancer surgery outcomes

Wilson Silva, Eduardo Castro, Maria J. Cardoso, Florian Fitzal, Jaime S. Cardoso

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Breast cancer high survival rate led to an increased interest in the quality of life after treatment, particularly regarding the aesthetic outcome. Currently used aesthetic assessment methods are subjective, which make reproducibility and impartiality impossible. To create an objective method capable of being selected as the gold standard, it is fundamental to detect, in a completely automatic manner, keypoints in photographs of women's torso after being subjected to breast cancer surgeries. This paper proposes a deep and a hybrid model to detect keypoints with high accuracy. Our methods are tested on two datasets, one composed of images with a clean and consistent background and a second one that contains photographs taken under poor lighting and background conditions. The proposed methods represent an improvement in the detection of endpoints, nipples and breast contour for both datasets in terms of average error distance when compared with the current state-of-the-art.

Original languageEnglish
Title of host publicationISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages1082-1086
Number of pages5
ISBN (Electronic)9781538636411
DOIs
Publication statusPublished - 1 Apr 2019
Event16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy
Duration: 8 Apr 201911 Apr 2019

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2019-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
CountryItaly
CityVenice
Period8/04/1911/04/19

Keywords

  • Aesthetic evaluation
  • Breast cancer
  • Deep neural networks
  • Keypoint detection

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  • Cite this

    Silva, W., Castro, E., Cardoso, M. J., Fitzal, F., & Cardoso, J. S. (2019). Deep keypoint detection for the aesthetic evaluation of breast cancer surgery outcomes. In ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging (pp. 1082-1086). [8759331] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/ISBI.2019.8759331