zylbuaa / tformer Goto Github PK

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

License: MIT License

Python 100.00%

multi-modal-fusion skin-lesion-classification transformer medical-image-analysis

tformer's Issues

train.py

请问train.py得到的结果中最后Daig、PN、BMV、VS、PIG、STR、DAG、RS: the model accuracy is 中得到的数据是论文table6中
78.48 ± 0.35 | 73.08 ± 0.32 | 88.13 ± 0.21 | 81.77 ± 1.09 | 69.37 ± 1.15 | 76.03 ± 0.98 | 64.64 ± 0.52 | 81.44 ± 0.83 | 76.62 ± 0.11
分类准确度吗，为什么我的复现结果与论文中的结果有一定偏差

tran.py

您好，我想请问一下，下载了数据之后需要处理吗？直接把训练语句中的地址换为下载好的数据地址就可以了吗？我试了一下跑不通，在resize那里报错了。

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.

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