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- W2534810038 abstract "Segmentation of medical images is an important first step in their interpretation. Thus an automatic segmentation technique would be of great benefit by reducing the manual effort currently required for this task. This paper reports on the use of neural networks in identifying the lung boundary in magnetic resonance images of the thorax. The networks are able to segment the slices used in training. Improved performance on unseen slices can be achieved using weight elimination and multi-slice training data." @default.
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- W2534810038 date "2002-12-24" @default.
- W2534810038 modified "2023-09-26" @default.
- W2534810038 title "Identification of the lung boundaries in MR images using neural networks" @default.
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- W2534810038 doi "https://doi.org/10.1109/iembs.1996.652720" @default.
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