πŸ“Š
4d Lung dataset by Angelou0516
⭐ 59.9
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Dataset

4d Lung

by Angelou0516 angelou0516/4d-lung
Free2AITools Nexus Index
59.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 61
P: Popularity 50
R: Recency 89
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 59.9 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID angelou0516/4d-lung
License cc-by-3.0
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_angelou0516_4d_lung,
  author = {Angelou0516},
  title = {4d Lung Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/Angelou0516/4D-Lung}},
  note = {Accessed via Free2AITools.}
}
APA Style
Angelou0516. (2026). 4d Lung [Dataset]. Free2AITools. https://huggingface.co/datasets/Angelou0516/4D-Lung

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 61
Popularity (P) 50
Recency (R) 89
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for 4d Lung: Authority (A:61), Popularity (P:50), Recency (R:89), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Downloads
27,593

🎯 Task Categories

image-segmentation

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Dataset Specification

4D-Lung (segmentation subset)

Longitudinal 4D (respiratory-gated, phase-resolved) fan-beam CT of 20 locally-advanced non-small-cell lung cancer (NSCLC) patients, with expert manual RTSTRUCT contours, from Data from 4D Lung Imaging of NSCLC Patients (4D-Lung) on The Cancer Imaging Archive (Hugo et al., VCU).

This is the segmentable subset of the full collection β€” read carefully. The full TCIA 4D-Lung collection is 183 GB and contains both 4D fan-beam CT (4D-FBCT, "4DCT") and 4D cone-beam CT (4D-CBCT). Only the 4DCT series carry public RTSTRUCT segmentations; the 4DCBCT series (134 GB) have no public masks. This mirror therefore contains only the 820 4DCT phase series + the 800 RTSTRUCT series (~46 GB) that form usable image/mask pairs. If you need the un-annotated 4DCBCT, download it from TCIA directly.

Dataset Details

Field Value
Modality CT (4D fan-beam, respiratory-gated; 10 breathing phases 0–90%) + RTSTRUCT contours
Body part Lung / thorax β€” locally-advanced NSCLC
Task 3D tumor-tar

Social Proof

HuggingFace Hub
27.6KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--angelou0516--4d-lung
slug
angelou0516--4d-lung
source
huggingface
author
Angelou0516
license
cc-by-3.0
tags
task_categories:image-segmentation, license:cc-by-3.0, size_categories:n<1k, region:us, medical, ct, 4dct, lung, nsclc, lung-cancer, radiotherapy, gtv, tumor-segmentation, respiratory-gated, dicom, rtstruct, tcia

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
27,593
stars
null
forks
null

Data indexed from public sources. Updated daily.