Multimodal Extension of the ML-CSC Framework for Medical Image Segmentation

In recent years, Convolutional Neural Networks (CNNs) have led to huge successes across various computer vision applications. However, the lack of interpretability poses a severe barrier for their wider adoption in healthcare. Recently introduced Multilayer Convolutional Sparse Coding (ML-CSC) data...

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Veröffentlicht in:	2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA) S. 91 - 96
Hauptverfasser:	Janssens, Jens, Lazendic, Srdan, Huang, Shaoguang, Pizurica, Aleksandra
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 13.09.2021
Schlagworte:	Computer architecture Convolution Convolutional codes Encoding Image segmentation interpretable convolutional neural networks medical image segmentation Multilayer convolutional sparse coding multimodal data Nonhomogeneous media Signal processing algorithms
ISSN:	1849-2266
Online-Zugang:	Volltext
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