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Generative Arts, Medical Image Analysis
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Generative Arts, Medical Image Analysis
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kaledhoshme123/README.md

Hi there 👋

  • My name is Khaled. I graduated from Al-Baath University, Department of Computer Science. I have a passion for working in the field of computer vision and deep learning. I am interested in the field of image analysis using artificial intelligence. I focus on detecting diseases and cancerous tumors from CT scans, X-rays, MRI images and ultrasound. In addition to analyzing and discovering areas of tumor areas and determining the extent of tumor spread.
  • I also focus on neurogenerative models in the ability to extract basic features from medical images and generate new images with specific conditions and specifications that help doctors make more accurate decisions.
  • Also interested in the field of Generative Arts.
  • I work to increase my experience by reading many scientific books and studying two research papers every week in the field of computer vision, especially generative models.
  • In addition to the interest in the field of analysis and detection of movement and early detection of future movement.

Certifications:

  • Bachelor's degree in Computer Science from Al-Baath University - Syria.
  • Probabilistic Deep Learning with TensorFlow 2 Course From Imperial College London: Certificate link
  • AI for Medical Diagnosis by DeepLearning.AI Certificate link
  • AI for Medical Prognosis by DeepLearning.AI Certificate link
  • Advanced Computer Vision with TensorFlow by DeepLearning.AI Certificate link
  • Advanced Deep Learning Methods for Healthcare by University of Illinois Certificate link

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kaled hoshme's github stats

Python Keras Matplotlib NumPy Pandas scikit-learn TensorFlow Jupyter Notebook Kaggle

Pinned

  1. Early-Detection-of-Collective-or-Individual-Theft-Attempts-Us-ing-Long-term-Recurrent-Convolutional- Early-Detection-of-Collective-or-Individual-Theft-Attempts-Us-ing-Long-term-Recurrent-Convolutional- Public

    I designed an intelligent system capable of analyzing movement within the videos and detecting suspicious movement that precedes the occurrence of shoplifting crimes. The proposed system can analyz…

    13 2

  2. Human-Protein-Atlas-Image-Classification Human-Protein-Atlas-Image-Classification Public

    Proposing a neural network architecture capable of classifying protein organelle localization labels, the proposed model was able to reach an accuracy of 95 percent for test data and training data.…

    Jupyter Notebook 8 2

  3. Multi-Scale-CycleGAN-Night-to-Day Multi-Scale-CycleGAN-Night-to-Day Public

    Converting night into day is one of the most interesting applications in generative models, due to the great difficulty in recreating the scene during the day, especially in cases of extreme darkne…

    Jupyter Notebook 7

  4. Adult-tooth-segmentation-U-net-based-GAN- Adult-tooth-segmentation-U-net-based-GAN- Public

    Dental segmentation for adults. Many dentists find it difficult to analyze dental panoramic images for adults. One of the difficulties that dentists suffer from is the difficulty in determining the…

    Jupyter Notebook 2