zylbuaa / tformer

The official implementation of "TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis"

👋 About Me (CV)

I am currently a second-year M.S. student at Beihang University (BUAA), supervised by Prof. Fengying Xie. Previously, I received my bachelor’s degree from Beihang University in June 2021. My research interests lie in medical image analysis, multi-modality, and image synthesis.

📎 Homepages

• Personal Pages: https://zylbuaa.github.io
• Google Scholar: https://scholar.google.com.hk/citations?hl=zh-CN&user=wZ4M4ecAAAAJ
• DBLP: https://dblp.org/pid/207/6668.html

🔥 News

• 2023.10: One paper is accepted by TCSVT (IF=8.4)!
• 2023.09: I'm honored with National Scholarship in China!
• 2023.07: One paper is accepted by MICCAI 2023 (STAR Award)!
• 2023.02: One paper is accepted by CBM (IF=7.7)!
• 2023.01: One paper is accepted by CMPB (IF=6.1)!
• 2022.12: One paper is accepted by CBM (IF=7.7)!
• 2022.05: Achieve the 5th place in Track I: Classification Task Defense and the 6th place in Track II: Open Set Defense, CVPR 2022 Robust Models towards Open-world Classification 🎉🎉!
• 2022.04: One paper is accepted by MedIA (IF=10.9)!

tformer's Issues

Seeking Guidance: Replication Challenges and Environment Clarification for Your Research

Hello, I am very interested in your research and attempting to replicate your code. I have run it several times with all the default parameters provided in the current repository, but the average accuracy is around 76.3%. I would like to ask if you have any suggestions on what should I do to get the same results as mentioned in the paper. Additionally, could you provide more detailed environment files to help rule out any environmental issues? Thank you very much.