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(BIBM22) This is the official code repository for "MALUNet: A Muti-Attention and Light-weight UNet for Skin Lesion Segmentation".

Python 100.00%
image-segmentation light-weight-network medical-imaging mobile-health

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malunet's Issues

a question and a request

Hello, take the liberty to interrupt, I downloaded the dataset isic2018 through the official website for the split is 2594 sheets Where should I get the extra 100 data from the 2694 in the paper?
If convenient, can you share your train.info .log?

About runtime

Hello, I would like to ask how long it usually takes you to run 300 epochs on the ISIC2018 dataset. I downloaded the code to run it and found that each epoch took about half an hour. Is it normal?

only test

How do I set up the code you provide if I just want to run the test collection?

Dataset link

I cannot able to access the dataset from the given link. Could you please provide a working link?

use Large images 768*1024

Peace be upon you
What are your thoughts when wanting to train and predict on large images such as 768*1024

结果与原文差异较大

ISIC2018,MALUNet跑出来的结果为
test of best model, loss: 0.2932,miou: 0.7998552734900135, f1_or_dsc: 0.8887995443534216, accuracy: 0.9469325188362953, specificity: 0.9712784932378719, sensitivity: 0.871260228505311, confusion_matrix: [[38912813 1150684]
[ 1659403 11230188]]

还有作者的EGE-Net实际测试结果为
ISIC2017,test of best model, loss: 0.7335,miou: 0.7868152686906821, f1_or_dsc: 0.8806901110345153, accuracy: 0.9593141526442308, specificity: 0.9718391644287886, sensitivity: 0.8970188284372141, confusion_matrix: [[34468587 998791]
[ 734361 6396661]]

作者能否提供下模型权重以供对比?感谢!

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