Multi-label chest X-ray classifier (18 pathologies, TorchXRayVision
densenet121-res224-all). Two paths:
(1) Drop a CXR image for live in-browser preprocess +
inference (xrv normalize + center crop + 224 resize, all in the worker
via shared decodeImageToFloat32); or
(2) Run verify + bench against precomputed PyTorch
references for parity validation.
Classify your CXR
Drop a chest X-ray PNG / JPG here, or
.
Pathology scores (top-5)
Verification harness
Runs precomputed inputs x.bin (synthetic seed=0) and
x_cxr.bin (real test_data/test_cxr.png after
server-side xrv preprocess) through the WebGPU forward, applies sigmoid +
op_norm, and diff-checks against PyTorch references.