Upload README_0019_tcia_ct_lymph_nodes.md

0019_tcia_ct_lymph_nodes/README_0019_tcia_ct_lymph_nodes.md

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+# Lymph Node CT Dataset (NIH, TCIA)
+
+## License
+**CC BY 3.0**  
+[Creative Commons Attribution 3.0 Unported License](https://creativecommons.org/licenses/by/3.0/)
+
+## Citation
+Paper BibTeX:
+
+```bibtex
+@inproceedings{roth2014new,
+  title={A new 2.5 D representation for lymph node detection using random sets of deep convolutional neural network observations},
+  author={Roth, Holger R and Lu, Le and Seff, Ari and Cherry, Kevin M and Hoffman, Joanne and Wang, Shijun and Liu, Jiamin and Turkbey, Evrim and Summers, Ronald M},
+  booktitle={International conference on medical image computing and computer-assisted intervention},
+  pages={520--527},
+  year={2014},
+  organization={Springer}
+}
+```
+
+Dataset:
+
+```bibtex
+Roth, H., Lu, L., Seff, A., Cherry, K. M., Hoffman, J., Wang, S., Liu, J., Turkbey, E., & Summers, R. M. (2015). A new 2.5 D representation for lymph node detection in CT [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.AQIIDCNM
+```
+
+## Dataset description
+This collection consists of computed tomography (CT) images of the mediastinum and abdomen in which lymph node positions were marked by radiologists at the National Institutes of Health Clinical Center. A total of 388 mediastinal lymph nodes in 90 patients and 595 abdominal lymph nodes in 86 patients were annotated by experts at the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory.
+
+The dataset is designed for the medical image computing community to develop and evaluate computer-aided detection methods. Automated lymph node detection is clinically important but challenging due to low contrast with surrounding tissues, varying sizes and shapes, and their sparse distribution. This dataset enables standardized benchmarking to advance state-of-the-art detection methods.
+
+**Number of CT volumes**: 174
+
+**Contrast**: -
+
+**CT body coverage**: Abdomen and mediastinum
+
+**Does the dataset include any ground truth annotations?**: Yes
+
+**Original GT annotation targets**: Mediastinal and abdominal lymph nodes
+
+**Number of annotated CT volumes**: -
+
+**Annotator**: Human
+
+**Acquisition centers**: Various clinical centers
+
+**Pathology/Disease**: Lymphadenopathy (non-cancer), abdominal and mediastinal
+
+**Original dataset download link**: https://www.cancerimagingarchive.net/collection/ct-lymph-nodes/
+
+**Original dataset format**: DICOM