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View Code? Open in Web Editor NEWThe official implementation of "ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training"
License: MIT License
The official implementation of "ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training"
License: MIT License
Hello,
I am reaching out to inquire about two specific aspects of the ECAMP that are crucial for my research:
Weight File Access Permission:
I have applied for access to the weight files associated with the project but have not yet received approval. Could you please provide an update on the status of my request or guide me on any further steps I need to take to gain access? My application email is "[email protected]".
Publication of Downstream Task Code and Parameter Details:
Additionally, I am keenly interested in the code and detailed parameters for downstream tasks associated with the project. Knowing these details is essential for ensuring the reproducibility of the results and for facilitating further research based on your valuable work. May I kindly know when these details are expected to be made publicly available on the repository?
I understand the challenges and workload that maintaining such a significant project entails. Your assistance and support in providing these resources would immensely benefit the research community, including my ongoing work.
Thank you for your attention to these matters, and I look forward to your prompt response.
Best regards,
Le Zou
National University of Defense Technology
👋 Hi! Thank you for your contribution, it is really a great job. And I have two questions regarding data processing:
RSNA Pneumonia: In the paper, it is mentioned, "The official data split is followed, with the training/validation/test set consisting of 25,184/1,500/3,000 images, respectively." I checked the RSNA Pneumonia dataset's official website and found that only 25,184+1,500 images have ground truth, and the remaining 3,000 images do not. Where can I find the ground truth for the test set?
SIIM-ACR Pneumothorax: When fine-tuning, is the approach the same as with MRM? Do you still include around 5,000 images without pneumothorax lesions for training, or is the final dataset for training reduced to only around 7,000 images (similar to MGCA), excluding those without lesions?
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