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mnist-ham10000

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For this project, I set out to implement three different image classifiers and fit all of them with greyscale and RGB images to observe their differences in performance and find the one that works best. Additionally, I wanted to investigate the effect of the image colour spectrum on a range of classifiers. The classifiers that I set out to imple…

  • Updated Mar 6, 2022
  • Jupyter Notebook

A comparative study for skin lesion segmentation and melanoma detection where deep learning methods can perform very well without complex pre-processing techniques except for normalization and augmentation.

  • Updated Sep 18, 2023
  • Jupyter Notebook

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