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jeya-maria-jose / UNeXt-pytorch

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
https://jeya-maria-jose.github.io/UNext-web/
MIT License
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The test effect of the data set is much worse than the indicators reported in the original paper，How to solve it？ #19

Open FPX-Tian1998 opened 2 years ago

Cloud-Liu commented 2 years ago

Hello, I have the same problem, have you solved it now?

sdtegaotian commented 1 year ago

use some trick on dataset

Better-77 commented 1 year ago

use some trick on dataset

Can you elaborate?

sdtegaotian commented 1 year ago

sorry this model, I can not arrive acurracy in his paper .I change some components

---- Replied Message ---- | From | @.> | | Date | 02/25/2023 16:15 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [jeya-maria-jose/UNeXt-pytorch] The test effect of the data set is much worse than the indicators reported in the original paper，How to solve it？ (Issue #19) |

use some trick on dataset

Can you elaborate?

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>

Better-77 commented 1 year ago

I used my own dataset and got very low metrics, iou and dice less than 0.5, do you have a suggestion for a solution? ------------------ 原始邮件 ------------------ 发件人: "jeya-maria-jose/UNeXt-pytorch" @.>; 发送时间: 2023年2月25日(星期六) 下午4:20 @.>; @.**@.>; 主题: Re: [jeya-maria-jose/UNeXt-pytorch] The test effect of the data set is much worse than the indicators reported in the original paper，How to solve it？ (Issue #19)

sorry this model, I can not arrive acurracy in his paper .I change some components

---- Replied Message ---- | From | @.> | | Date | 02/25/2023 16:15 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [jeya-maria-jose/UNeXt-pytorch] The test effect of the data set is much worse than the indicators reported in the original paper，How to solve it？ (Issue #19) |

use some trick on dataset

Can you elaborate?

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.>