chn123/astra-encoder-nlst-features

🫁 ASTRA-Sybil & ASTRA-Pillar: NLST 3D CT Survival Benchmark & Feature Archive This repository hosts pre-extracted 3D spatial feature tensors and the canonical biostatistical validation benchmark for deep lung cancer risk assessment on the National Lung Screening Trial (NLST). 📁 Repository Structure . ├── 5D/ # 2,965 PyTorch 5D spatial feature tensors [2048, 10, 7, 7] │ └── *.pt ├── manifest.csv… See the full description on the dataset page: https://huggingface.co/datasets/chn123/astra-encoder-nlst-features.

<iframe src="https://silytics.si/embed/item/031b5b20-5e09-44e3-b198-004323935f64" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.