Thank you for the great work. I trust this repository is indeed valuable for the community!
Upon viewing the teaser image, I noticed that there is limited work focusing on endoscopy images, particularly on Early Esophageal Cancer (EEC). Therefore, I would like to introduce our recent work published in IEEE Transactions on Image Processing on this topic:
In this work, we have collected EEC datasets with the assistance of doctors from West China Hospital (Huaxi Hospital). Additionally, we propose a zero-shot strategy to achieve lesion segmentation.
I would greatly appreciate it if you could review our paper and consider including it in this repository.
Thank you very much!
By the way, I like your MedSAM and your comment on the DDNM repository issue was really helpful to me, as I am also investigating the application of generative super-resolution on medical images.
Best regards,
Haipeng Li
PhD Student at the University of Electronic Science and Technology of China
Hi Jun,
Thank you for the great work. I trust this repository is indeed valuable for the community!
Upon viewing the teaser image, I noticed that there is limited work focusing on endoscopy images, particularly on Early Esophageal Cancer (EEC). Therefore, I would like to introduce our recent work published in IEEE Transactions on Image Processing on this topic:
arxiv version: Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions IEEE version: coming soon
In this work, we have collected EEC datasets with the assistance of doctors from West China Hospital (Huaxi Hospital). Additionally, we propose a zero-shot strategy to achieve lesion segmentation.
I would greatly appreciate it if you could review our paper and consider including it in this repository. Thank you very much!
By the way, I like your MedSAM and your comment on the DDNM repository issue was really helpful to me, as I am also investigating the application of generative super-resolution on medical images.
Best regards,
Haipeng Li PhD Student at the University of Electronic Science and Technology of China