lung-ct
Datasets
All datasets matching “lung-ct”RIDER-LungCT-Seg
RIDER-LungCT-Seg
Manual primary gross-tumor-volume (GTV) segmentations of non-small-cell lung
cancer (NSCLC) on same-day test–retest chest CT, paired with their source
CT images, from RIDER-LungCT-Seg on The Cancer Imaging Archive (segmentations
from Aerts et al., Nat. Commun. 2014; base images from the RIDER "Coffee-break"
Lung CT collection, Zhao et al.).
This mirror is a precisely-isolated slice of a shared TCIA collection — read carefully.
On TCIA, the base "RIDER Lung CT"… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/RIDER-LungCT-Seg.QIN-LungCT-Seg
QIN-LungCT-Seg
QIN multi-site collection of Lung CT data with Nodule Segmentations — a TCIA
analysis result from the NCI Quantitative Imaging Network (QIN). Thoracic CT
scans of non-small-cell-lung-cancer (NSCLC) patients with multi-algorithm
nodule/tumor segmentations contributed by three institutions, each run three
times, as a study of inter-algorithm and test-retest segmentation variability
(Kalpathy-Cramer et al., J Digit Imaging 2016).
Read before benchmarking — three… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/QIN-LungCT-Seg.Lung-Fused-CT-Pathology
Lung-Fused-CT-Pathology — CT + segmentation masks
Radiology side of the TCIA collection Lung-Fused-CT-Pathology (Fused
Radiology-Pathology Lung), reformatted to co-registered NIfTI for the MedSphere /
EasyMedSeg segmentation suite. 6 patients with surgically-resected ground-glass
pulmonary nodules (lung adenocarcinoma); pre-operative chest CT was co-registered
with ex-vivo whole-slide histopathology to project the true extent of invasive
adenocarcinoma onto in-vivo CT.… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/Lung-Fused-CT-Pathology.lc-ksvd-lung-ct-modelsMultimodal_Lung_Cancer_Dataset-CT-Mask-Clinical
Lung Cancer Multimodal Imaging Dataset for Treatment Response and Survival Analysis
📌 Overview
This dataset provides a curated multimodal imaging and clinical cohort of lung cancer patients undergoing chemotherapy or immunotherapy, designed to support research in:
Lung CT-based segmentation and representation learning
PET/CT multimodal modeling
Radiomics-driven outcome prediction
Survival analysis (OS / DFS)
Treatment response stratification
Histological subtype… See the full description on the dataset page: https://huggingface.co/datasets/FangDai/Multimodal_Lung_Cancer_Dataset-CT-Mask-Clinical.lung-pet-ct-dx