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Effects of preproce...
Effects of preprocessing in slice-level classification of interstitial lung disease based on deep convolutional networks
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- Chang, Yongjun (författare)
- KTH,Skolan för teknik och hälsa (STH)
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- Smedby, Örjan, 1956- (författare)
- KTH,Medicinsk bildbehandling och visualisering
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(creator_code:org_t)
- 2017-10-13
- 2018
- Engelska.
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Ingår i: VipIMAGE 2017. - Cham : Springer Netherlands. - 9783319681948 ; , s. 624-629
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Several preprocessing methods are applied to the automatic classification of interstitial lung disease (ILD). The proposed methods are used for the inputs to an established convolutional neural network in order to investigate the effect of those preprocessing techniques to slice-level classification accuracy. Experimental results demonstrate that the proposed preprocessing methods and a deep learning approach outperformed the case of the original images input to deep learning without preprocessing.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Deep convolutional network
- Deep learning
- Preprocessing
- Transfer learning
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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