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@ShaastraWebops

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  1. Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

    Python 67 19

  2. Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network

    Jupyter Notebook 20 15

  3. Digital Pathology AI

    JavaScript 19 4

  4. Explainability of Deep Learning Models

    Python 5 3

  5. Graph: Representation, Learning, and Inference Methods

    Python 3

  6. Stock price prediction using Bidirectional LSTM and sentiment analysis

    JavaScript 16 5

1,208 contributions in the last year

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Activity overview
Contributed to koriavinash1/BioExp, parthnatekar/BioExp, koriavinash1/DeepBrainSeg and 5 other repositories
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Contribution activity

August 2020

Created a pull request in koriavinash1/DeepBrainSeg that received 1 comment

Fine-tuning pipeline for densenet3D mdodel

initial version for model fine-tuning for the tiramisu 3D model (Training scripts for tumor segmentation problem). files added (DeepBrainSeg/tumor/…

+780 −2 1 comment
24 contributions in private repositories Aug 1 – Aug 20

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