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Automation of ABCDE Analysis of Neoplasm with Interpretation of Results

  • E. I. Akimova,
  • G. Yu. Guskov,
  • N. G. Yarushkina

摘要

Abstract

The article presents work on the analysis of macroimages of neoplasms based on ABCDE analysis. The main goal of the study was an attempt to create a tool that allows identifying changes in neoplasms using the ABCD metric and displaying the “Evolution” metric as a forecast of development trends. In previous works of the scientific group, metrics were formed that describe the ABCDE analysis criteria. The article also presents a program that allows you to evaluate the image of a tumor in a nonblack box mode and interpret the result. The results of the work were assessed mainly by subject matter experts, and data sets from open sources were used as material.