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. 2022 Feb 24;41(8):1961–1974. doi: 10.1109/TMI.2022.3154599

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Fig. 3. — An overview of FeatureNet. FeatureNet takes multi-view images as input and extracts multi-view motion feature and multi-view shape feature . Panel (a) describes multi-scale feature fusion. Panel (b) shows the 2D encoder , where refers to SAX, 2CH and 4CH views. Panel (c) describes the combination of multi-view features.

Inline graphic — An overview of FeatureNet. FeatureNet takes multi-view images as input and extracts multi-view motion feature and multi-view shape feature . Panel (a) describes multi-scale feature fusion. Panel (b) shows the 2D encoder , where refers to SAX, 2CH and 4CH views. Panel (c) describes the combination of multi-view features.