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Abstract
Automatic liver segmentation of Computed Tomography (CT) images is becoming increasingly important. Although there are many publications in this field there is little explanation why certain pre-processing methods were utilised. This paper presents a comparison of the commonly used approach of Hounsfield Units (HU) windowing, histogram equalisation, and a combination of these methods to try to ascertain what are the differences between them and how big the differences are. All experiments were conducted on the LiTS dataset. To achieve comparable and reliable results only one architecture of neural network is used which is U-Net with ResNet34 blocks
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Authors (7)
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Alicja Kwaśniewska dr inż.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 2022 15th International Conference on Human System Interaction (HSI) strony 1 - 5
- Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Kaczor K., Nadachowski P., Operlejn M., Piastowski A., Zielonka M., Cychnerski J., Kwaśniewska A.: Comparison of image pre-processing methods in liver segmentation task// 2022 15th International Conference on Human System Interaction (HSI)/ : , 2022, s.1-5
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/hsi55341.2022.9869505
- Sources of funding:
-
- nie mam zielonego pojęcia, o co tutaj w ogóle chodzi??? czemu muszę coś takiego wypełniać??? nie mogę wysłać formularza bez wypełniania tego pola, więc wpisuję same dziewiątki
- Verified by:
- Gdańsk University of Technology
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Comparison of image pre-processing methods in liver segmentation task
- K. Kaczor,
- P. Nadachowski,
- M. Operlejn
- + 4 authors
2022