CeLDA+ & CephaAdoAdu Dataset

[Paper]  |  [Dataset]  |  [Project Page]

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🚧 TODO

• Repository creation & initial code commit
• Dataset page online
• Dataset release
• Training / evaluation code release
• Paper and project page release

📝 Paper

CeLDA+: Prototypical Learning for Age-Robust Cephalometric Landmark Detection

Han Wu^1*, Wei Jia^1*, Lanzhuju Mei¹, Tong Yang², Min Zhu³, Haizhen Li^3✉, Chong Wang^4,5✉, Dinggang Shen^1,6,7✉, Zhiming Cui^1✉
1 School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
² Shanghai Linkedcare Information Technology Co., Ltd., Shanghai, China
³ Shanghai Ninth People Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
⁴ Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Palo Alto, CA, USA
⁵ Department of Radiology, Stanford University, Stanford, CA, USA
⁶ Shanghai United Imaging Intelligence Co. Ltd., Shanghai, China
⁷ Shanghai Clinical Research and Trial Center, Shanghai, China
^* These authors contributed equally to this paper. ✉ Corresponding authors: Haizhen Li, Chong Wang, Dinggang Shen, Zhiming Cui.

📚 Dataset

Our **CephaAdoAdu46/201** dataset is available for **research purposes only**.

Access

1. Visit the IMPACT Lab dataset page.
2. Download and fill out the application form.
3. Send the signed e-copy to Han Wu and Dr. Zhiming Cui, CC your advisor as required in Sec. 5 of the form.
4. We will send the dataset link and password upon receiving the form.

Data Organization

data/CephaAdoAdu{46,201}
├── train/  (*.jpg + train_anno.json)
├── val/    (*.jpg + val_anno.json)
└── test/   (*.jpg + test_anno.json)

Landmark Definitions

Landmark Set	Definition File
46 points	data/46pts_definition.json
201 points	data/201pts_definition.json

💻 Getting Started

Code coming soon.