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DebeshJha / 2020-CBMS-DoubleU-Net

Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
https://arxiv.org/pdf/2006.04868.pdf
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Question about the result on MICCAI 2015 #7

Open tranquangchung opened 3 years ago

tranquangchung commented 3 years ago

hello friend

First of all, Thank you for sharing your code. However, I have a question about your project. I have just trained your code with dataset (CVC-ClinicDB for training and ETIS-Larib for Testing). And I also used the same config and environment as you. However, The result that I got is not good as your paper report? Can you recommend to me a trick or advice to improve the result ?

Thank you so much. Looking forward to your reply soon @DebeshJha

zhujue1998 commented 2 years ago

Hi friend, I also encountered the same problem. In the CVC ClinicDB dataset, this code shows 0.6445 iou, 0.7795 Dice, 0.9200 Pre, 0.6570 Recall，This is a far cry，Have you solved this problem？

lisiying-eazin commented 2 years ago

Hi friend, I also encountered the same problem. In the CVC ClinicDB dataset, this code shows 0.6445 iou, 0.7795 Dice, 0.9200 Pre, 0.6570 Recall，This is a far cry，Have you solved this problem？

Hi, Could you please leave a contact information? My QQ mailbox is 997083486@qq.com.