Abstract: A method for detection and pathological classification of polyps via colonoscopy based on an anchor-free technique includes: performing feature extraction on a color endoscopic image that is pretreated, enhancing and extending the extracted features, decoding the feature information of the enhanced feature and the extended feature through an anchor-free detection algorithm to acquire a polyp prediction box and a prospect prediction mask, then respectively extracting global and local feature vectors from the extended feature and the prospect prediction mask, and combining the global feature vector with the local feature vector, so as to predict the type of polyps through a full-connection layer. Through the present application, the type of polyps can be correctly predicted, and the detection rate of polyps and the accuracy rate of pathological classification are improved.

Abstract: A method for detection and pathological classification of polyps via colonoscopy based on an anchor-free technique includes: performing feature extraction on a color endoscopic image that is pretreated, enhancing and extending the extracted features, decoding the feature information of the enhanced feature and the extended feature through an anchor-free detection algorithm to acquire a polyp prediction box and a prospect prediction mask, then respectively extracting global and local feature vectors from the extended feature and the prospect prediction mask, and combining the global feature vector with the local feature vector, so as to predict the type of polyps through a full-connection layer. Through the present application, the type of polyps can be correctly predicted, and the detection rate of polyps and the accuracy rate of pathological classification are improved.

Abstract: Systems and methods for diagnosing or monitoring progress of a pathology using laser induced breakdown spectroscopy (LIBS) and machine learning are disclosed.

Abstract: Systems and methods for diagnosing or monitoring progress of a pathology using laser induced breakdown spectroscopy (LIBS) and machine learning are disclosed.

Abstract: A combined concrete material, including: a concrete; a reinforcing bar, the reinforcing bar disposed inside the concrete; and a decorative sheet, the decorative sheet including: a flat part, a first junction, and a second junction. The concrete, the reinforcing bar, and the decorative sheet are fixed together as one whole body. The decorative sheet is disposed outside the concrete, and the inner surface of the flat part is attached to the outer surface of the concrete. The first junction and the second junction are disposed on two ends of the flat part. The inner surface of the flat part is concave and forms a dovetail slot. Neighboring decorative sheets are connected together via the first junction and the second junction, which are embedded in the concrete.

Abstract: A combined concrete material, including: a concrete; a reinforcing bar, the reinforcing bar disposed inside the concrete; and a decorative sheet, the decorative sheet including: a flat part, a first junction, and a second junction. The concrete, the reinforcing bar, and the decorative sheet are fixed together as one whole body. The decorative sheet is disposed outside the concrete, and the inner surface of the flat part is attached to the outer surface of the concrete. The first junction and the second junction are disposed on two ends of the flat part. The inner surface of the flat part is concave and forms a dovetail slot. Neighboring decorative sheets are connected together via the first junction and the second junction, which are embedded in the concrete.