Patterson + Sheridan, LLP
Deep image classification of medical images
Methods, systems, and storage components for utilizing a deep neural network(s) for classifying at least one medical image. A deep neural network (DNN) can be configured by an image processing component to contain at least one revived neuron, where the revived neuron has an adjusted value based on a focus-learning function that is transferred to the DNN by the image processing component, where the focus-learning function provides the adjustment by updating the DNN with data that contains a corrected classification with respect to at least one normal image sample derived from a medical image, and where the correction is based on the focus-learning function comparing an annotation associated with an abnormal image sample derived from the medical image to another annotation associated with the at least one normal image.
International Business Machines Corporation
G G G G G G G G G G G G G
G06V G06V G16H G06N G06K G06N G06K G16H G06V G06N G06V G16H G06K
additional inventional inventional inventional inventional inventional inventional inventional inventional inventional inventional inventional inventional
Peng Xin Xiaolu Guo Tong Xiu Li
Gao Zhang Zhang Xie Li