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Updated: Aug 6, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
[Current issues of mathematical modeling and advancement in radiology]
Abstract:
An analysis of certain issues in mathematical support and optimization of radiological procedures has pointed to many criteria involved in designing effective schedules of radiotherapy of neoplasms. TDF, CRE and ETD may be used for relevant evaluations. The greatest promise is held by such criteria as tumor tissue ablation (TTA) and radiation injury complications (RIC) in normal organs and tissue. This calls for development of suitable methods. Considering the high complexity of the body. It should be expected that body responses to radiation are determined by irradiation parameters and condition of target tissues. The report deals with a procedure for adapting mathematical models to on-line requirements. Newly-developed programming complexes are designed to help the medical radiologist integrate available data with his or her clinical findings.
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