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  • University of Southern California
  • California
  • 00:27 (UTC -07:00)
  • LinkedIn in/pramod-zillella

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Pramod04121999/README.md

Hi there 👋!!!

image (2) (2)

I am Zillella Pramod, Currently, I'm deepening my knowledge through a Master's degree in Machine Learning and Data Science at the University of Southern California and Graduated as an Electronics Engineer from NIT Bhopal in 2021. I am highly interested 👀 in building algorithms which are robust and reduce the processing complexity and time for Medical Image Analysis Applications 🔭. The thought process of solving real-life problems and working with neural networks keeps me up‌ ‌at‌ ‌night. It is my passion to solve real life computer vision problems through the implementation and improvement of state-of-the-art‌ ‌deep‌ ‌learning‌ ‌models.

I appreciate any help/improvements you can give to my pinned repositories and do consider giving my repositories a ⭐️ if you like them.

Pinned

  1. Brain-Tumor-Segmentation Brain-Tumor-Segmentation Public

    Fully automatic brain tumor segmentation using the Modified 3DUNet architecture for Brats 2020 Challenge.

    Jupyter Notebook 15 1

  2. Skin-Lesion-Segmentation Skin-Lesion-Segmentation Public

    Fully automatic skin lesion segmentation using the Berkeley wavelet transform and UNet algorithm.

    Jupyter Notebook 11 2

  3. Detection-of-Text-Written-in-air Detection-of-Text-Written-in-air Public

    Recognition of single digits written in air using a deep learning-based convolutional neural network (CNN) approach.

    Jupyter Notebook 6 2

  4. Pipelined-Tumor-Segmentation Pipelined-Tumor-Segmentation Public

    A complete pipelined automatic process for skull stripping and tumor segmentation from Brain MRI using Thresholding.

    MATLAB 13