Attention feature fusion methodology with additional constraint for ovarian lesion diagnosis on magnetic resonance images.

Medical physics(2023)

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Abstract
The texture features extracted from different middle layers are crucial for ovarian lesion diagnosis. Our proposed method can enhance the feature extraction capabilities of different layers of the network, thereby improving diagnostic performance.
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Key words
attention mechanism,convolutional neural work (CNN),feature fusion,magnetic resonance imaging (MRI),ovarian lesion diagnosis
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