Upload README_0001_visceral_gc.md

0001_visceral_gc/README_0001_visceral_gc.md

@@ -0,0 +1,56 @@
+# VISCERAL Gold Corpus
+
+## License
+TBD
+
+
+## Citation
+Paper BibTeX:
+
+```bibtex
+@article{jimenez2016cloud,
+  title={Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks},
+  author={Jimenez-del-Toro, Oscar and M{\"u}ller, Henning and Krenn, Markus and Gruenberg, Katharina and Taha, Abdel Aziz and Winterstein, Marianne and Eggel, Ivan and Foncubierta-Rodr{\'\i}guez, Antonio and Goksel, Orcun and Jakab, Andr{\'a}s and others},
+  journal={IEEE transactions on medical imaging},
+  volume={35},
+  number={11},
+  pages={2459--2475},
+  year={2016},
+  publisher={IEEE}
+}
+```
+
+
+## Dataset description
+The VISCERAL Anatomy benchmarks provide a cloud-based framework for evaluating algorithms on anatomical structure segmentation and landmark detection. The dataset includes 120 CT and MR patient volumes, with 1,295 structures and 1,760 landmarks manually annotated to form a standard Gold Corpus, supporting objective comparison of state-of-the-art methods.
+
+**Homepage**: https://visceral.eu/benchmarks/anatomy3-open/ (currently down)
+
+**Number of CT volumes**: 40
+
+**Contrast**: Unenhanced whole-body CT and contrast-enhanced abdomen and thorax CT (iodine-based contrast agent)
+
+**CT body coverage**: Whole-body (head to knee) and contrast-enhanced regions (corpus mandibulae to pelvis)
+
+**Does the dataset include any ground truth annotations?**: Yes
+
+**Original GT annotation targets**:
+
+From VISCERAL Gold Corpus: Liver, spleen, pancreas, gallbladder, urinary bladder, aorta, trachea, right lung, left lung, sternum, thyroid gland, first lumbar vertebrae, right kidney, left kidney, right adrenal gland, left adrenal gland, right psoas major, left psoas major, right rectus abdominis, left rectus abdominis
+
+From CADS's new manual annotation: Spinal canal, larynx, heart, mammary glands, colostomy bag, sigmoid colon, rectum, prostate, and seminal vesicles
+
+**Number of annotated CT volumes**: 40
+
+**Annotator**: Human
+
+**Acquisition centers**: Medizinische Universität Wien (MUW), Universitätsklinikum Heidelberg (UKL-HD), Agència d‟Avalució, I Qualitat en Salut (GENCAT) in Catalonia Spain
+
+**Pathology/Disease**: Whole-body: bone marrow neoplasms (e.g., multiple myeloma). Contrast-enhanced: malignant lymphoma. 
+
+**Original dataset download link**: -
+
+**Original dataset format**: nifti
+
+## Note
+Since the original host page (https://visceral.eu/benchmarks/anatomy3-open/) is no longer accessible, we have obtained permission from the original authors and affiliated institutions and plan to re-release the VISCERAL dataset in CADS, including its original images and annotations. We are currently in the process of obtaining renewed ethics approval, and the dataset will be made publicly available once approved.