Mode-driven intelligent gastroscopy report generation method and system
A gastroscopy, mode-driven technology, applied in medical reports, neural learning methods, biological neural network models, etc., can solve the problem of low level of automatic generation of gastroscopy reports, achieve the effect of reducing work pressure and improving the degree of automation
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[0071] First aspect, such as Figure 1~2 As shown, the embodiment of the present invention provides a mode-driven gastroscopy report intelligent generation method, including:
[0072] S1. Preprocessing the gastroscopy picture, and obtaining the visual features and part feature vectors of the gastroscopy picture;
[0073] S2. Fusing the visual features and part feature vectors to obtain the overall feature vector of the gastroscopy picture;
[0074] S3. Input the overall feature vector into the encoder of the Transformer model, and obtain the hidden layer state value encoded by the overall feature vector;
[0075] S4. Input the state value of the hidden layer into the decoder of the Transformer model to obtain the target text sequence vector corresponding to the gastroscopy picture, and the decoder introduces a position pattern memory, and the position pattern memory records information related to the position pattern memory. The key pattern information corresponding to the p...
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