
In modern medicine, automating diagnostic processes and improving detection quality is a pressing issue. This thesis examines methods for analyzing medical images, specifically X-ray and magnetic resonance imaging (MRI) results, using Data Mining technologies. The possibilities of detecting diseases at early stages, improving diagnostic accuracy, and supporting physicians in the decision-making process through data mining technologies are analyzed.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
