| abstract |
A method and system for characterizing a tissue of interest includes acquiring and receiving multiple time-series data of fluorescent images, identifying one or more attributes of data relating to clinical characterization of the tissue, and the same cluster Classifying data into clusters based on one or more attributes so that the data in the clusters are more similar to each other in different clusters, where the clusters characterize the organization And including. The method and system further includes receiving data of the fluorescent image target time series, associating each of the plurality of sub-regions in the fluorescent image target time series with a corresponding cluster, and the fluorescent image target time series. Generating a target space map based on clusters corresponding to a plurality of sub-regions. The generated spatial map may then be used as an input for tissue diagnosis using supervised machine learning. [Selection] Figure 1 |