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Hey 👋 I'm currently working on SkinVestigator a skin cancer and lesion detection AI, building a new model named M4, it has a training set of 200k~ images a big step up from M3.1 which was trained on 96K images, I plan to keep increasing the models abilities and seeing how far something with this much potential benefit can go.
See the current roadmap for SkinVestigator here

*All sponsorship funds are used to train future models.

Featured work

  1. Thomasbehan/LesNet

    LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!

    Python 13

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