node
Datasets
All datasets matching “node”CT_Lymph_Nodes
CT Lymph Nodes (Roth et al., NIH)
176 chest + abdomen CT scans with manually-traced voxel-wise mediastinal and
abdominal lymph node segmentations. The collection underpins the Roth 2014
detection benchmark and Seff 2015 segmentation benchmark, and remains a
widely-cited reference for thoracic-abdominal lymph node CADe work.
Dataset Details
Field
Value
Modality
CT
Body part
Mediastinum + Abdomen
Task
3D binary segmentation (foreground = lymph nodes)… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/CT_Lymph_Nodes.hyperliquid-node-fills-by-blockMediastinal-Lymph-Node-SEG
Mediastinal-Lymph-Node-SEG (LNQ 2023)
Mediastinal lymph node quantification dataset from the LNQ 2023 challenge:
513 chest CT scans with manual radiologist segmentations of mediastinal
lymph nodes, distributed under two annotation regimes — partial
(weakly-supervised) for training, and full (gold-standard) for evaluation.
Dataset Details
Field
Value
Modality
CT (chest)
Body part
Mediastinum (chest), lymph nodes
Task
3D binary segmentation… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/Mediastinal-Lymph-Node-SEG.Temporal_Awareness_Node_ScoresHESDL-Node-Telemetry-Blobs-v1
Dataset Card for HESDL Synthetic Node Telemetry
Dataset Summary
This dataset contains aggregated, anonymized, and synthetic telemetry payloads generated across simulated distributed nodes within the HESDL infrastructure. The primary objective of this corpus is to provide a baseline for evaluating heuristic anomaly detection algorithms in high-throughput, unstructured blob-storage environments.
Due to the nature of the simulated stress tests, the dataset includes large… See the full description on the dataset page: https://huggingface.co/datasets/heuristic-eval-labs/HESDL-Node-Telemetry-Blobs-v1.hyperliquid-node-trades