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kakumarabhishek/README.md

Welcome to my GitHub page 👋

I am Kumar Abhishek, a PhD student in the Medical Image Analysis Lab (MIAL) at Simon Fraser University.

  • 🔭 I am broadly interested in the application of deep learning for medical image analysis tasks, and specifically for dermatology. Please visit my homepage or my Google Scholar profile for a complete list of publications.
  • 👯 I’m looking to collaborate on deep learning-based skin image analysis projects and applications.
  • 📫 How to reach me: Please email me at kabhishe@sfu.ca.

Homepage Email Google Scholar ResearchGate LinkedIn Twitter GitHub

Pinned

  1. Illumination-based-Transformations-Skin-Lesion-Segmentation Illumination-based-Transformations-Skin-Lesion-Segmentation Public

    This is the code corresponding to our CVPR ISIC 2020 paper.

    Jupyter Notebook 13 10

  2. MCC-Loss MCC-Loss Public

    Matthews Correlation Coefficient Loss implementation for image segmentation.

    Jupyter Notebook 10 4

  3. melanoma-detection-python melanoma-detection-python Public

    Forked from hadikhanhk786/melanoma-detection-python

    A python program to categorize skin lesions as benign or melanoma based on ABCD features.

    C++ 1 2

  4. sfu-mial/skin-lesion-segmentation-survey sfu-mial/skin-lesion-segmentation-survey Public

    3

  5. Mask2Lesion Mask2Lesion Public

    Code corresponding to our MICCAI SASHIMI 2019 paper on shape-constrained skin lesion image synthesis.

    2

  6. Corrected-Skin-Image-Datasets Corrected-Skin-Image-Datasets Public

    Data and code for our analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets

    Jupyter Notebook 1