Computer-implemented method, computer-implemented diagnosis method, apparatus for classifying image, and computer-program product

Abstract

A computer-implemented method is provided. The computer-implemented method includes classifying an image using a classification model having a residual network. Classifying the image using the classification model includes inputting an input image into the residual network having N number of residual blocks sequentially connected, N≥2, (N−1) number of pooling layers respectively between two adjacent residual blocks of the N number of residual blocks, and (N−1) number of convolutional layers respectively connected to first to (N−1)-th residual blocks of the N number of residual blocks; processing outputs from the first to the (N−1)-th residual blocks of the N number of residual blocks respectively through the (N−1) number of convolutional layers; vectorizing outputs respectively from the (N−1) number of convolutional layers to generate (N−1) number of vectorized outputs; vectorizing an output from a last residual block of the N number of residual blocks to generate a last vectorized output.