danielaxv3/lungcv-xray-multilabel-v32
AI model by danielaxv3
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Model card & documentation
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Multi-label chest X-ray finding classifier with an auxiliary lung-segmentation head: v2's proven segmentation-aided training recipe + v3's independent sigmoid output design + OOD rejection. Each finding (NORMAL / PNEUMONIA / COVID / TB) is scored independently; films where nothing crosses the reporting threshold are flagged uncertain; films far from the training distribution are flagged out-of-distribution. Research prototype only — not a medical diagnosis. Own-validation (1,800 images): 89.4% accuracy, macro-F1 0.894. (top 40 encoder layers unfrozen, BatchNorm frozen, Adam 1e-5)…
Read the full model card ↗ · Preview checked 2026-10-29T04:16:43.889Z
Inside the original model card — Document outline
- LungCV v3.2 — Multitask + Multi-label (production)
- Head-to-head vs v2 (864 held-out tiles, identical inputs, same patient-wise split)
- Architecture
- Preprocessing contract
- Files
- Model history
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Model overview
danielaxv3/lungcv-xray-multilabel-v32 is a task-unspecified model repository published by danielaxv3 on Hugging Face. The source reports the keras library.
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Model facts
- Task
- Not reported
- Library
- keras
- Recent downloads (30 days)
- 0
- Cumulative likes
- 1
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-10-20T06:41:57.000Z
- Last modified
- 2026-10-20T06:42:37.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-20T06:43:37.702Z. Daily imports are snapshots, not real-time monitoring.
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