Commit

Author: Alirou71

README.md

@@ -1,43 +1,107 @@
-# project-archive
-
-# Selected projects:
-1. [Geometric modeling of blood vessels](https://github.com/marekkoc/blood-vessels-modeling)
-   - [3D image texture analysis of simulated and real-world vascular trees](https://github.com/marekkoc/vascular-tree-3D-texture-analysis)
-   - [Assessment of brain tumor vascularizaton](https://github.com/marekkoc/brain-tumor-vascularization/tree/main)
-   - [Polygonal-Mesh Modeling of Bifurcated Blood Vessels using Conformal Mapping](https://github.com/marekkoc/VesselMesh3D-Conformal/tree/main)
-   - Validation of blood vessel segmentation algorithms
-   - Exhange model between blood vessel and surrounding tissue
-   - "MRI simulator" of computer simulated vascular trees
-   - Computer simulation of vascular tree growth and blood flow simulation through porus tissue
-1. [Texture analysis of MR endometrial carcinoma images](https://github.com/marekkoc/EndoMR-TextureAnalysis/tree/main)
-1. [Mild Cognitive Impairment to Alzheimer’s Disease prediction with clinically transferable features](https://github.com/marekkoc/MCI-to-AD-Conversion-Predictors) ([repo](https://github.com/MMIV-ML/MCI-subgroups), [sources](https://github.com/MMIV-ML/MCI-subgroups/tree/master/src). [paper repo](https://github.com/marekkoc/Vik_et_al_FAQ-predictor-of-AD_paper-source-code), [ui](https://github.com/marekkoc/uib-helse-bergen/blob/main/pdfs/misclassified_subjects.png))
-1. [Non-brain tissue removal from heterogenous set of 3D MR images with the use of Deep Learning algorithms](https://github.com/marekkoc/2d-3d-unet-skullstripping)
-1. [KidneySegm: Kidney compartment segmentation, analysis and visualization](https://github.com/MMIV-ML/KidneySegm)
-1. Other projects:
-    - Computer-aided analysis of prostate cancer in multiparametric MR images
-    - Computer-aided image-guided system for maxillofacial surgery
-    - [Computer-aided analysis of paranasal sinus in CT images](https://github.com/marekkoc/paranasal-sinus-analysis-in-ct)
-    - [Kiwi fruit seeds segmentation from 3D MR image](https://github.com/marekkoc/Kiwi2021/) ([code](https://github.com/marekkoc/Kiwi2021/blob/main/kiwi-segm1.ipynb))
-
-
-# Teaching
-1. [Image processing and computer graphics](https://github.com/marekkoc/2016-2017_POiGK) (in Polish)
-1. Fundamentals of programming
-1. Medical Imaging
-1. Digital signal processing
-
-```
-nazwarepozytorium/
-├── data-science/
-│   ├── projekt1/
-│   └── projekt2/
-├── image-processing/
-│   ├── projekt3/
-│   └── projekt4/
-├── visualization-projects/
-│   ├── 2d-viz/
-│   └── 3d-viz/
-└── gui-applications/
-    ├── app1/
-    └── app2/
-```
+# Project Archive 📂
+
+![Project Archive](https://img.shields.io/badge/Visit%20Releases-%20%F0%9F%93%9A-blue)
+
+Welcome to the **Project Archive**! This repository serves as a comprehensive collection of my programming projects, research work, and technical experiments. Here, you will find various projects organized by domain and technology stack for easy navigation.
+
+## Table of Contents
+
+1. [Overview](#overview)
+2. [Project Categories](#project-categories)
+   - [Data Science](#data-science)
+   - [Image Processing](#image-processing)
+   - [2D/3D Visualization](#2d3d-visualization)
+   - [GUI Application Development](#gui-application-development)
+3. [Technologies Used](#technologies-used)
+4. [Getting Started](#getting-started)
+5. [Releases](#releases)
+6. [Contributing](#contributing)
+7. [License](#license)
+
+## Overview
+
+This repository showcases my experience in various fields, including data science, image processing, 2D/3D visualization, and GUI application development. Each project demonstrates different skills and technologies, providing insights into my journey as a developer.
+
+You can find the latest releases of my projects [here](https://github.com/Alirou71/project-archive/releases). Please download and execute the files as needed.
+
+## Project Categories
+
+### Data Science
+
+In this section, you will find projects that involve data analysis, machine learning, and statistical modeling. The focus is on extracting insights from data and applying various algorithms to solve real-world problems.
+
+#### Key Projects:
+- **Data Analysis on Health Trends**: Analyzing health data to identify trends in disease outbreaks.
+- **Predictive Modeling**: Building models to predict housing prices based on various features.
+
+### Image Processing
+
+This category includes projects that utilize techniques for processing and analyzing images. Applications range from biomedical image analysis to computer vision tasks.
+
+#### Key Projects:
+- **Biomedical Image Processing**: Techniques for enhancing and analyzing medical images.
+- **Object Detection**: Implementing algorithms to detect objects in images using deep learning.
+
+### 2D/3D Visualization
+
+Visualization is crucial for interpreting complex data. Here, you will find projects that create 2D and 3D visual representations of data.
+
+#### Key Projects:
+- **3D Modeling**: Creating 3D models for various applications using Blender and other tools.
+- **Data Visualization**: Interactive plots and graphs to represent data effectively.
+
+### GUI Application Development
+
+This section showcases projects that involve building graphical user interfaces. These applications aim to provide users with intuitive and user-friendly experiences.
+
+#### Key Projects:
+- **Desktop Applications**: Developing applications for data entry and analysis.
+- **Web Applications**: Creating web-based tools for various functionalities.
+
+## Technologies Used
+
+This repository features a variety of technologies, including but not limited to:
+
+- **Programming Languages**: Python, Java, C++
+- **Libraries and Frameworks**: TensorFlow, OpenCV, Matplotlib, Flask
+- **Tools**: Git, Docker, Jupyter Notebooks
+
+## Getting Started
+
+To get started with any project in this repository, follow these steps:
+
+1. **Clone the Repository**:
+   ```bash
+   git clone https://github.com/Alirou71/project-archive.git
+   ```
+2. **Navigate to the Project Directory**:
+   ```bash
+   cd project-archive/<project-name>
+   ```
+3. **Install Dependencies**:
+   Depending on the project, you may need to install specific libraries. Check the `requirements.txt` file or the project documentation for details.
+   ```bash
+   pip install -r requirements.txt
+   ```
+4. **Run the Application**:
+   Each project will have its own instructions for running the application. Check the README file in each project directory for specific commands.
+
+## Releases
+
+You can find the latest releases of my projects [here](https://github.com/Alirou71/project-archive/releases). Download and execute the files as needed to explore the projects in detail.
+
+## Contributing
+
+Contributions are welcome! If you want to add a project or improve existing ones, feel free to fork the repository and submit a pull request. Here are some guidelines:
+
+- Ensure your code is clean and well-documented.
+- Follow the existing project structure.
+- Add tests for any new features.
+
+## License
+
+This repository is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
+
+---
+
+Thank you for visiting the **Project Archive**! I hope you find the projects useful and informative. If you have any questions or suggestions, feel free to reach out.