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- W2562253690 abstract "A new method for a differential diagnosis of focal liver lesions (FLL), using cellular neural networks (CNN), intended to develop a computer assisted diagnosis (CAD) procedure, is presented. Two types of lesions with a known typical behavior were selected for the CNN image processing. The database consisted of 20 cases of video recordings of contrast enhancement ultrasound (CEUS) examination. The images processed by the CNN algorithm were selected by ultrasound experts. The images resulted from the CNN processing were accurate and characteristic enough to make possible an instant differential diagnosis between hemangioma and hepatocellular carcinoma." @default.
- W2562253690 created "2017-01-06" @default.
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- W2562253690 date "2016-10-01" @default.
- W2562253690 modified "2023-09-26" @default.
- W2562253690 title "Cellular neural network processing of CEUS examination. A pilot study" @default.
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- W2562253690 doi "https://doi.org/10.1109/isetc.2016.7781119" @default.
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