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Description
A curated multimodal imaging and clinical cohort of lung cancer patients undergoing chemotherapy or immunotherapy, hosted by FangDai. The dataset is designed for research in CT segmentation, PET/CT modeling, radiomics, and survival analysis. It was last updated on December 29, 2025.
Use Cases
Lung CT-based segmentation and representation learning based on imaging data
PET/CT multimodal modeling based on combined imaging modalities
Radiomics-driven outcome prediction based on extracted imaging features
Survival analysis (OS / DFS) based on clinical follow-up data
Treatment response stratification based on chemotherapy or immunotherapy outcomes
Strengths
Dataset is curated for specific research tasks in lung cancer analysis.
Supports multimodal analysis with both imaging (CT, PET/CT) and clinical data.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
Author FangDai on Hugging Face.
Collection Method
Likely aggregated from clinical and imaging sources for research purposes.
Freshness
Last updated 2025-12-29 05:23:03; freshness should be verified.
License is unknown; terms of use must be verified before application.