Analysis of ultrasound images of chronic diffuse liver diseases using texture parameters of gray gradations
| Autor: | E. Nastenko, I. Dykan, O.V. Pavlov, B. Tarasyuk, V. Babenko, V. Kruglyi, V. Solodushchenko, M. Honcharuk, I. Andrushchenko, M. Hupalo, O. Averyanova |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Radiation Diagnostics, Radiation Therapy. 13:7-29 |
| ISSN: | 2707-0700 2707-0697 |
| Popis: | The paper proposes a technology for analyzing ultrasound images based on textural characteristics for the development of a medical decision-making system for determining the presence of pathological changes in diffuse liver diseases. The list of algorithmic solutions known and proposed by the authors for the formation and selection of informative features was applied, a version of the Random Forest classification algorithm was developed, which achieved (compared with known analogues) the highest quality indicators of the classification of normal liver pathology. Ensuring the "explainability" of the computer diagnostic solution for radiologists is achieved by accompanying the diagnostic conclusion with an image indicator, which is a binarized transformation of the primary ultrasound image, where the binary colors are associated with the corresponding norm-pathology class. The transformation is a kind of "amplifier" of the effect of the presence of pathology, which allows radiologists to consciously agree with the conclusion of artificial intelligence or question its diagnosis and recommend additional research. The system was handed over to the co-authors of the work, specialists of the Institute of Nuclear Medicine and Radiodiagnosis of the National Academy of Medical Sciences of Ukraine, for trial operation. |
| Databáze: | OpenAIRE |
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