Update dataset card

README.md

@@ -97,10 +97,10 @@ into **10 body systems**, with a highly non-uniform per-system class count:
 | Skeletal | 93 | ribs (1–12 L/R), thoracic vertebrae (T1–T12), cervical/lumbar vertebrae, sternum, clavicles, scapulae, humerus, femur |
 | Abdominal | 42 | liver (with segments), spleen, pancreas, kidneys, gallbladder, stomach, intestine |
 | Mediastinal | 25 | aorta, IVC/SVC, carotid/subclavian arteries, brachiocephalic vessels, iliac/renal vessels |
-| Cardiac | — | atria, ventricles, myocardium, ascending aorta, pulmonary artery/vein |
-| Pulmonary | — | left/right lung, upper/middle/lower lobes, lung nodule, tumor, effusion |
-| Airway | — | trachea, main bronchi, larynx |
-| Endocrine | — | thyroid, adrenal glands, thymus |
+| Cardiac | 11 | heart, atria (L/R), ventricles (L/R), myocardium, ascending aorta, left auricle, heart tissue |
+| Pulmonary | 15 | left/right lung, upper/middle/lower lobes (L/R), lung nodule, tumor, effusion, pulmonary vein, pulmonary embolism |
+| Airway | 6 | trachea, bronchi, larynx (glottis, supraglottis), cricopharyngeal inlet |
+| Endocrine | 8 | thyroid (L/R + gland), adrenal glands (L/R), thymus |
 | Esophageal | 2 | esophagus structures |
 | Breast | 3 | breast structures |
 | Neural / soft tissue | 5 | spinal cord, skin, muscle |
@@ -135,30 +135,6 @@ ll_img = Image.open(io.BytesIO(row["image_ll"]["bytes"]))
 ```
 
 
----
-
-## Source & Citation
-
-This dataset is derived from **RadGenome-ChestCT**, which is built on **CT-RATE**.
-If you use this dataset, please cite both:
-
-```bibtex
-@article{radgenome2024,
-  title={RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis},
-  author={RadGenome Team},
-  year={2024},
-}
-
-@article{hamamci2024foundation,
-  title={A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities},
-  author={Hamamci, Ibrahim Ethem and others},
-  journal={arXiv preprint arXiv:2403.17834},
-  year={2024},
-}
-```
-
----
-
 ## License
 
 [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) — derived from CT-RATE.