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Learning to make the Machine Learn. AI for Medicine & Healthcare.
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Learning to make the Machine Learn. AI for Medicine & Healthcare.
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sauravmishra1710/README.md

Hi there πŸ™‹β€β™‚οΈ πŸ‘¨πŸΌβ€πŸ’»

I'm Saurav! I'm a Software Engineer-IV majorly working in React JS, C#.Net in the healthcare domain. Very much keen to work & contribute to the AI and Computer Vision space in the Healthcare domain. πŸ‘· πŸ₯

  • πŸ“š πŸ““ I’m currently learning React JS, Python GUI, Deep Learning and Computer Vision for Medicine & Healthcare Domain. πŸ€“ πŸ±β€πŸ‘“

  • πŸ’» Intrested in AI (Deep Learning & Computer Vision) for Medicine and Healthcare πŸ‘¨πŸΌβ€πŸ’»

  • πŸ‘― Open to collaborate on AI for Medicine and Healthcare.

My Personal Web Space: Saurav.Hello.World

πŸ“š Peer Reviewed Journal Publications πŸ“š

Paper Title

Paper Link

Source Code

1. A Comparative Study for Time-to-Event Analysis and Survival Prediction for Heart Failure Condition using Machine Learning Techniques. The paper is published in the July 2022 issue as part of the Journal of Electronics, Electromedical Engineering, and Medical Informatics. Read Online Python Source Code
2. Artificial Intelligence: A Review of Progress and Prospects in Medicine and Healthcare. The paper is published in the January 2022 issue as part of the Journal of Electronics, Electromedical Engineering, and Medical Informatics. Read Online NA
3. Malaria Parasite Detection using Efficient Neural Ensembles. The paper is published in the October 2021 issue as part of the Journal of Electronics, Electromedical Engineering, and Medical Informatics. Read Online Python Source Code

πŸ‘¨β€πŸ’» Recently Created Repositories πŸ‘¨β€πŸ’»

πŸ“« Reach me @ πŸ“§

@ [email protected]

@forevrManUtd https://www.linkedin.com/in/saurav-mishra1710/

⚑ Fun fact ⚑

πŸ“· Enthusiast Photographer πŸ“·

⚽ Manchester United Fan Boy ⚽

Pinned

  1. Saurav.Hello.World Saurav.Hello.World Public

    My Personal Web Space. A clean, beautiful, responsive personal web app template for Software Developers by a software developer developed using React JS.

    JavaScript 2

  2. Malaria-Detection-Using-Deep-Learning-Techniques Malaria-Detection-Using-Deep-Learning-Techniques Public

    Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden tow…

    Jupyter Notebook 9 6

  3. Heart-Failure-Condition-And-Survival-Analysis Heart-Failure-Condition-And-Survival-Analysis Public

    Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be us…

    Jupyter Notebook 37 14

  4. UNet-Plus-Plus---Brain-Tumor-Segmentation UNet-Plus-Plus---Brain-Tumor-Segmentation Public

    Brain tumor segmentation using UNet++ Architecture . Implementation of the paper titled - UNet++: A Nested U-Net Architecture for Medical Image Segmentation @ https://arxiv.org/abs/1807.10165

    Jupyter Notebook 9 1

  5. EXPLAINABLE-AI---Skin-Cancer-Detection-explained-with-GRADCAM EXPLAINABLE-AI---Skin-Cancer-Detection-explained-with-GRADCAM Public

    Diagnose the presence of skin cancer in a person using CNN and as well explain what led the CNN to arrive at the decision. Visual explanations are made utilizing the Gradient-weighted Class Activat…

    Jupyter Notebook

  6. U-Net---Biomedical-Image-Segmentation U-Net---Biomedical-Image-Segmentation Public

    Implementation of the paper titled - U-Net: Convolutional Networks for Biomedical Image Segmentation @ https://arxiv.org/abs/1505.04597

    Jupyter Notebook 19 9