Preliminary filtering
Noise and artifact removal without losing important details.
Medical ML · cardiology
MaxatLab
Projects in biomedical image processing, data filtering, and support for cardiological diagnostics.
Core project
Clean data for cardiac diagnostics
Official title: “Development of an algorithm for filtering and preprocessing biomedical images for cardiological diagnostics”.
Expanded dataset
Data preparation for robust model training.
Clinical applicability
A prototype to support the diagnosis of cardiovascular diseases.
Methodology
Research roadmap
Filtering, feature extraction, model training, and validation on medical data.
Cleaning
Noise reduction and image quality normalization.
Features
Compact data representation for classification.
Model
Training a computer vision algorithm.
Validation
Accuracy assessment on test medical data.
Results
Expected outcomes
A concise view of the project calendar plan.
Dataset
Data prepared by classes.
Prototype
An algorithm for filtering biomedical images.
Validation
A report on algorithm accuracy and reliability.
Software
Software for automated processing.
Links
Projects and materials
A single entry point for the core project, student work, and the future dataset.
01
Project page on the university portal
Project description on Satbayev Science.
02
Healthybody
A student diploma Django project for a digital clinic.
03
Supervisor profile
Official profile of Maxat Kabdullin.
04
LinkedIn
Professional profile and contacts.
05
CV
Brief CV page and PDF file on the site.
06
NCSTE profile
Researcher identification card.
07
Publications and validation
Scientific papers, related topics, and planned outcomes.
08
Project dataset
The link will be added after the description and access rules are prepared.
soon
09
Research interests and new initiatives
Medical ML, educational projects, and prototypes outside grant funding.
in progress