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107 results about "Intestinal Disorder" patented technology

A non-neoplastic or neoplastic disorder that affects the small or large intestine.

Anthocyanin-rich low-sugar type nutritional fruit powder and preparation method thereof

The invention discloses an anthocyanin-rich low-sugar type nutritional fruit powder and a preparation method thereof. The nutritional fruit powder comprises the following components: 500-950 parts of mulberries, 0-300 parts of blueberries, 0-300 parts of cranberries, 15-30 parts of beta-cyclodextrin, 10-30 parts of lecithin, 10-30 parts of soluble starch and 1-10 parts of probiotics. The preparation method comprises the following steps: (a) selecting and cleaning the fresh fruits; (b) grinding into ultrafine powder; (c) carrying out reverse osmosis membrane concentration; (d) sterilizing; (e) fermenting; (f) adding auxiliary materials; (g) carrying out spray freeze drying; (h) packaging and storing. The nutritional fruit powder is prepared from the fresh fruits such as the mulberries, is rich in anthocyanin and good in antioxidant effect, has the function of improving the immunity of human body, is suitable for the people having intestinal disorders; the fermentation step is carried out in the preparation process of the nutritional fruit powder prepared from fresh fruits such as the mulberries and has a function of removing sugar, so that the prepared nutritional fruit is low in sugar content, has a better function of reducing blood glucose and is suitable for the people having hyperglycemia.
Owner:SERICULTURE & AGRI FOOD RES INST GUANGDONG ACAD OF AGRI SCI

Intestinal disease segmentation method of salient edge feature extraction module guided network

An intestinal disease segmentation method of a significant edge feature extraction module guided network comprises the steps of: firstly, inputting a data set, extracting features through a backbone network Res2net, then extracting multi-scale context information through GCN modules with different kernel sizes, improving the division performance of object boundaries through a boundary refinement module, and further extracting the features; generating edge information by using the second-layer side edge output features, suppressing noise in the edge information by using the three fused high-layer semantic information, and performing significant edge supervision on the generated significant edge features by using a mask image generation edge image to form a final significant edge feature extraction module; and finally, jointly inputting the edge information generated in the significant edge feature extraction module and the side output information of each layer into the RAS module, and training the model to obtain training parameters, wherein the training parameters are used for testing to obtain a final result. According to the invention, the problems of inaccurate polyp segmentation and positioning and fuzzy boundary in gastrointestinal tracts are improved.
Owner:ZHEJIANG UNIV OF TECH
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