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mansour2002/README.md

Hi there 👋, I am Mansour

I am a Machine learning (ML), artificial intelligence (AI), and computer vision researcher/engineer.

I’m currently working on the classification and segmentation of retinal images for disease detection, classification, and treatment analysis.
I'm using deep learning models as well as traditional machine learning models.
I'm employing OpenCV for image processing and traditional computer vision implementations.
I'm interested in the real-world applications of AI.
I'm deepening my understanding of Generative AI by studying how LLMs can empower NLP and computer vision tasks.

Coding

Python, C++, MATLAB

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  1. AVA-Net AVA-Net Public

    Deep Learning for Arterial-Venous-Area (AVA) Segmentation using OCTA images with Python and TensorFlow.

    Python 5 1

  2. Transformers-for-CIS Transformers-for-CIS Public

    SegFormer, a Transformer-Based Model, for Cell Nuclei Instance Segmentation on PanNuke Dataset Using PyTorch

    Jupyter Notebook

  3. CFZ-Net-training CFZ-Net-training Public

    Deep Learning for Capillary Free Zones (CFZ) Segmentation using OCTA Images with Python and PyTorch.

    Jupyter Notebook 1

  4. AV-Analysis-SVM AV-Analysis-SVM Public

    AV Analysis to enhance DR classifications using Support Vector Machine (SVM)

    Jupyter Notebook

  5. Digital-Pathology-Segmentation Digital-Pathology-Segmentation Public

    Cell Nuclei Instance Segmentation on Cancer Instance Segmentation (PanNuke) Dataset Using Python and PyTorch.

    Jupyter Notebook

  6. multimodal-avnet multimodal-avnet Public

    Forked from dleninja/mf-av-net

    Deep learning AV classification in OCT and OCTA using Python and TensorFlow.

    Python