JavaScript Beats Cancer
watch on portal.gitnation.org ↗https://portal.gitnation.org/contents/javascript-beats-cancersummary
Using TensorFlow.js and Pandas.js, the talk explains deploying machine-learning models in JavaScript for skin cancer detection and analysis. It covers building neural networks, image processing techniques to extract features such as asymmetry, and how those methods integrate with medical imaging hardware from dermatoscopy partners, with workflows shown in both Python and JavaScript.
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