Quantized Vision Transformers Can Now Run Skin Lesion AI Entirely in the Browser
Developers can now build privacy-first skin lesion screening tools that run entirely in the browser, eliminating the need to upload sensitive images to cloud servers. The approach combines TensorFlow.js, WebAssembly (WASM), and quantized Vision Transformer (ViT) models to perform real-time image analysis on the user's own device. Model quantization reduces ViT file sizes from over 300MB down to roughly 30–50MB, making browser deployment practical for the first time. Running inference locally also removes round-trip latency to data centers and eliminates API inference costs. The tutorial demonstrates integrating this pipeline into a React application using a WASM-accelerated TensorFlow.js backend for sub-second predictions.
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