lymph-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.Mediastinal-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.RCL-Lymphnode-Cancer-Biopsy-100K
Lymphnode Cancer Biopsy Dataset (100k)
Overview
This dataset contains biopsy images of lymphnode cancer tissues, divided into two classes: benign and malignant. Each sample is stored in a separate image file, organized into respective class folders. The dataset is structured to be compatible with Lumina AI's Random Contrast Learning (RCL) algorithm via the PrismRCL application.
Dataset Structure
The dataset is organized into the following structure:… See the full description on the dataset page: https://huggingface.co/datasets/LuminaAI/RCL-Lymphnode-Cancer-Biopsy-100K.lymph_node_6-2-22_reconstructionlymph_node_6-1-22_reconstructionhuman_lymph_node