This article studies the use of modeling and algorithms based on 3D fractal geometry for early detection of internal diseases.Fractal models provide an opportunity to clarify the diagnostic process through accurate mathematical modeling of complex structures of the human body.The study developed a 3D medical visualization system using fractal dimension, geometric iterations, and diagnostic algorithms.This research explores the development and application of 3D fractal modeling geometry and algorithms for the detection of internal diseases.The primary goal is to enhance the accuracy and efficiency of diagnostic processes by integrating fractal analysis with advanced 3D geometric representations of internal organs and tissues.The study presents a mathematical framework for modeling biological structures using fractal geometry, which captures the complexity and self-similarity of physiological patterns.A novel algorithm is proposed to process medical imaging data and generate 3D fractal models that can be used to identify abnormalities and potential disease markers.Experimental results demonstrate the effectiveness of this approach in detecting irregularities associated with various internal diseases.The findings contribute to the fields of computational medicine, medical imaging, and artificial intelligence, offering a new pathway for early and precise diagnosis.
| Jurnal | ТАТУ хабарлари |
|---|---|
| Nashr sanasi | 2024-12-14 |
| DOI | 10.61663/243stuitmct1 |
DOI: 10.61663/243stuitmct1 · Maqolaning asl sahifasi
Robustness to geometric distortions and distribution shifts remains a major challenge in deep learning.Standard data augmentation methods, such as random rotations and translations, improve generalization but often fail…
The problem of misallocation of cache lines in processors is studied based on the specific features of memory organization in multi-core and multi-processor systems of distributed systems.Incorrect allocation of cache…
This study investigates the use of Recursive Feature Elimination (RFE) for feature selection in multi-output classification, particularly with a medical dataset.The classification task requires predicting several…
The h-index has emerged as a pivotal metric for evaluating the scientific impact and productivity of journals, authors, and institutions.In the context of scientific journals, the h-index is instrumental in determining…
The paper presents an overview of methods and technologies used to develop mobile applications using augmented reality (AR).The main focus is on spatial methods that allow for the effective integration of virtual…
The article discusses a method for preventing SQL injections and cross-site scripting using the Knuth-Morris-Pratt string matching algorithm.SQL injection and cross-site scripting remain a major threat to data-driven…
The purpose of the work in this article is to develop models and algorithms to ensure the effectiveness of monitoring the telecommunications network of information transmission in air navigation systems, allowing to…