In recent years, machine-learning-based approaches have become of considerable interest
to the efficient processing of short or limited data samples. Its so-called small data approach …

The paper explored the problem of automatic diagnosis based on immunohistochemical
image analysis. The issue of automated diagnosis is a preliminary and advisory statement …

Abstract Nowadays, Artificial Intelligence became widespread and deeply integrated into our
life routines. One of the most interesting and fast-growing technology in the Artificial …

The use of artificial intelligence tools is one of the areas of development of medical
diagnostics in its various fields. This paper is devoted to the study of the current state of …

Neuro-fuzzy models of management nowadays are becoming more widespread in various
industries. Many papers deal with the synthesis of neuro-fuzzy models of diagnostics in …

Artificial intelligence provides modelling on machines by simulating the human brain using
learning and decision-making abilities. Early diagnosis is highly effective in reducing …

Speech-to-text systems work as an interpreter today. Since each domain has its own
terminology and constraints, its effectiveness depends on the language's capacity to …

In this research study, the authors analyzed immunohistochemical images used to diagnose
breast cancer pathologies. The authors developed an adaptive method of …

Context. The authors of the article investigated the problem of generating and classifying
breast cancer histological images. The widespread incidence of breast cancer explains the …

The structure and principle of application of the methodology for supporting the medical
decision-making taking into account the legal basis, as well as the scheme of application of …