Abstract: A medical endoscope image recognition method is provided. In the method, endoscope images are received from a medical endoscope. The endoscope images are filtered with a neural network, to obtain target endoscope images. Organ information corresponding to the target endoscope images is recognized via the neural network. An imaging type of the target endoscope images is identified according to the corresponding organ information with a classification network. A lesion region in the target endoscope images is localized according to an organ part indicated by the organ information. A lesion category of the lesion region in an image capture mode of the medical endoscope corresponding to the imaging type is identified.

Abstract: A system for providing a high-speed implementation for multi-stream forward error correction (FEC) is provided. According to one exemplary aspect, the system is able to provide block-based multi-stream FEC that reduces the power consumption when compared with conventional symbol-based FEC. The system provides a pipeline architecture for multi-stream FEC so that modules in the system are able to respectively process blocks of data from different channels or data streams.