Tumor early recognition system based on deep learning and hyperspectral image

The invention discloses a tumor early recognition system based on deep learning and a hyperspectral image, and relates to the technical field of tumor early recognition. Comprising an image dimension reduction module used for obtaining a hyperspectral image and extracting spectral information in the...

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Hauptverfasser: WU SHIHAO, GU XIAMING, ZHANG YANLIN, ZHANG YANBING, LIU HONGBIN, ZHAO HANZHU, HAN HAOYU, LEI SHENGXUAN, WANG WEI, SONG JUNLIN, JIANG HAO, HAN JINGHONG, LI WEI, DANG GUANGHONG, LIU SHANGMING, MENG MIMI, WANG LIYAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a tumor early recognition system based on deep learning and a hyperspectral image, and relates to the technical field of tumor early recognition. Comprising an image dimension reduction module used for obtaining a hyperspectral image and extracting spectral information in the hyperspectral image; the characteristic wave band selection module is used for carrying out difference analysis on the extracted spectral information and determining a characteristic wave band according to an analysis result; the deep learning model module is used for performing tumor preliminary identification on the spectral information under the selected characteristic wave band by using a tumor identification model; and the integrated learning module is used for carrying out integrated learning on the preliminary tumor identification result, optimizing a tumor identification model according to an integrated learning result, and identifying the hyperspectral image to be detected by adopting the optimized tumor